{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009502527,0.0001156553,0.0001861202,0.00109503,0.0007270227,0.0001359025,0.001829643,0.00007448062,0.00001256112],"category_scores_gemma":[0.01753009,0.00005880865,0.00001028667,0.01516277,0.001002975,0.0002593414,0.0002076823,0.0004949372,0.00001204013],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276092,"about_ca_system_score_gemma":0.005827597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06479485,"about_ca_topic_score_gemma":0.7468972,"domain_scores_codex":[0.9964916,0.0000909823,0.0004437169,0.0004812095,0.002069396,0.0004231348],"domain_scores_gemma":[0.9963228,0.0006082971,0.0003244595,0.0006010222,0.002079425,0.00006405252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006253563,0.00003666531,0.05015812,0.00004825745,0.0000106184,0.000002151457,0.05532963,0.00006550932,0.08202439,0.03874253,0.05591666,0.7176029],"study_design_scores_gemma":[0.0001523926,0.00005750369,0.3885956,0.0002343009,0.000007288983,0.00001173174,0.3031535,0.0004168452,0.0919128,0.01062937,0.2044415,0.0003871038],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754546,0.0007895015,0.000006551906,0.0125263,0.001385755,0.000471133,8.722994e-7,0.000006572968,0.009358736],"genre_scores_gemma":[0.9839052,0.00004704655,0.00003820339,0.00002652047,0.00009407265,0.00003913175,8.977959e-7,0.000005204962,0.01584371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7172158,"threshold_uncertainty_score":0.9998084,"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."}}