{"id":"W2562716445","doi":"","title":"The drive to innovation: The privileging of science and technology knowledge production in Canada","year":2012,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge production; Production (economics); Engineering; Political science; Business; Knowledge management; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01458596,0.0002825045,0.0006430139,0.004123122,0.0353318,0.02213936,0.002171525,0.002129113,0.002994102],"category_scores_gemma":[0.03252159,0.0005475967,0.0005680624,0.009033566,0.02072924,0.004859933,0.01081253,0.004357032,0.0001624942],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2982174,"about_ca_system_score_gemma":0.5423096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941958,"about_ca_topic_score_gemma":0.9973084,"domain_scores_codex":[0.9697903,0.005986365,0.0008559209,0.001867398,0.01378375,0.007716155],"domain_scores_gemma":[0.9675731,0.01167482,0.002064944,0.001535331,0.01116789,0.005983887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002892786,0.00009881443,0.06982695,0.0005776266,0.00008708948,0.001395639,0.2671173,0.001474074,0.001241032,0.5302257,0.02260924,0.1050573],"study_design_scores_gemma":[0.00007620466,0.0001093537,0.1395847,0.001301388,0.000145786,0.0003626279,0.3506589,0.003185223,0.001888025,0.05400205,0.448362,0.0003236628],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5419848,0.008269116,0.004440813,0.1142881,0.0004009731,0.0003684382,0.0007491878,0.0000824677,0.3294161],"genre_scores_gemma":[0.9859595,0.001983388,0.001098284,0.002107393,0.00002102149,0.00004157698,0.00006189271,0.0000167247,0.008710077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9646682,"threshold_uncertainty_score":0.8139683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06963330644928303,"score_gpt":0.4475071186621189,"score_spread":0.3778738122128359,"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."}}