{"id":"W2166109672","doi":"10.1504/ijtip.2006.011708","title":"Assessing the tools and techniques enterprises use for analysing Innovation, Science and Technology (IS&amp;T) factors: are they up to the task?","year":2006,"lang":"en","type":"article","venue":"International Journal of Technology Intelligence and Planning","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Scope (computer science); Task (project management); Knowledge management; Computer science; Set (abstract data type); Conceptual framework; Conceptual model; Process management; Management science; Business; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001053822,0.0001351275,0.0001561428,0.002321749,0.000465803,0.001413743,0.0005734181,0.00007911977,0.000002723035],"category_scores_gemma":[0.001600082,0.00008344182,0.00002130767,0.001538501,0.0003470959,0.001293566,0.0003448634,0.0002297354,0.000001318966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003640742,"about_ca_system_score_gemma":0.00003216455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001861522,"about_ca_topic_score_gemma":0.00001868758,"domain_scores_codex":[0.9988559,0.000005516854,0.0004713617,0.0001998945,0.0002931014,0.0001741664],"domain_scores_gemma":[0.9965505,0.0001312859,0.000580521,0.0001313925,0.002600051,0.000006274442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003980258,0.00003967027,0.6102123,0.0000332856,0.0001347809,0.00001167314,0.0006001286,0.00004793315,0.006590733,0.2904934,0.002885868,0.08891051],"study_design_scores_gemma":[0.0006331185,0.0001499844,0.06485756,0.001988791,0.0002983285,0.0003584012,0.06589153,0.00355459,0.0399636,0.2780488,0.5432145,0.001040747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374707,0.0002413788,0.03855919,0.02238505,0.0005076021,0.0002492096,0.000004682115,0.00006429443,0.0005178859],"genre_scores_gemma":[0.9963868,0.00002441016,0.001643432,0.001556619,0.00031641,0.00001070917,0.000003999317,0.000008170544,0.00004949371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5453547,"threshold_uncertainty_score":0.9996229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07364612857990817,"score_gpt":0.3518612291527576,"score_spread":0.2782151005728495,"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."}}