{"id":"W3123937234","doi":"10.1111/j.1467-9310.2004.00364.x","title":"Using S&amp;T foresight to augment organizational tool kits: a Canadian institutional‐entrepreneurial experiment","year":2004,"lang":"en","type":"article","venue":"R and D Management","topic":"Technology Assessment and Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Futures studies; Knowledge management; Management; Political science; Public relations; Business; Computer science; Economics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006049718,0.000164165,0.0001091539,0.000316407,0.0001725904,0.00005812476,0.0001252268,0.00004943887,0.0001327394],"category_scores_gemma":[0.00000324228,0.0001750473,0.00002304112,0.0002351578,0.00002474866,0.0001018505,0.0001267637,0.00005009068,0.00006172263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374281,"about_ca_system_score_gemma":0.00003515945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009262754,"about_ca_topic_score_gemma":0.003981516,"domain_scores_codex":[0.9991088,0.000004005746,0.0001732676,0.000240447,0.0001764431,0.0002970651],"domain_scores_gemma":[0.9996283,0.000002722667,0.0000132335,0.0002009155,0.00001851841,0.0001362848],"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":[0.00001149953,0.00008051613,0.0004630943,0.0001038249,0.0002577755,0.0000734908,0.0003618158,0.1727364,0.001079296,0.8129519,0.008944382,0.002936014],"study_design_scores_gemma":[0.003137192,0.00008388314,0.008998031,0.0001523681,0.000159945,0.0000192194,0.0002923089,0.001889919,0.00464845,0.01577277,0.963862,0.0009838825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4561745,0.0005228494,0.4919837,0.004605757,0.00219137,0.002508571,0.00003708913,0.001007289,0.04096881],"genre_scores_gemma":[0.976417,0.0001271132,0.02234299,0.0004709452,0.00009244981,0.0001103651,0.00004235277,0.00002549958,0.0003713034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9549177,"threshold_uncertainty_score":0.7138222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371944142347663,"score_gpt":0.2290441279042504,"score_spread":0.2153246864807738,"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."}}