{"id":"W3209250349","doi":"10.1142/s1363919621400065","title":"FROM DESCRIPTION TO ACTION: ACTOR-NETWORK THEORY AND INNOVATION MANAGEMENT","year":2021,"lang":"en","type":"article","venue":"International Journal of Innovation Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Objectivity (philosophy); Computer science; Knowledge management; Actor–network theory; Context (archaeology); Ontology; Action research; Action (physics); Participatory action research; Epistemology; Data science; Management science; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001949115,0.0002501975,0.0002486994,0.00276177,0.0001857501,0.0008115293,0.0004518835,0.00006872551,0.0005035559],"category_scores_gemma":[0.000195394,0.0002567929,0.00005918789,0.005231635,0.00003637599,0.001388526,0.0005775104,0.0002063572,0.0001757995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850647,"about_ca_system_score_gemma":0.00002601701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000595412,"about_ca_topic_score_gemma":0.000009884345,"domain_scores_codex":[0.9969972,0.00004582567,0.001386158,0.0003622771,0.000958033,0.0002504865],"domain_scores_gemma":[0.9943562,0.00004312822,0.001065878,0.0002553355,0.004262527,0.0000169303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002772738,0.0001401684,0.001182774,0.00006928056,0.000594608,0.0001377146,0.00007446459,0.0001819455,0.0005681256,0.879599,0.02683244,0.09034218],"study_design_scores_gemma":[0.002193241,0.00002840015,0.02100317,0.0004050086,0.0001871853,0.00001949218,0.004258382,0.0002182137,0.0004160691,0.2571799,0.7136402,0.0004506957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2936552,0.0001750105,0.296163,0.02374803,0.01802886,0.00102869,0.00001328946,0.0002146939,0.3669733],"genre_scores_gemma":[0.9517666,0.00009156048,0.01546063,0.01987849,0.006208603,0.00003604387,0.0002730914,0.00004704652,0.006237929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6868078,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845694070201934,"score_gpt":0.2927261810156465,"score_spread":0.2542692403136271,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}