{"id":"W7017915378","doi":"","title":"Canadian firms that benefit from governmental support are more innovative","year":2016,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Public policy; Production (economics); Legislation","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":[],"consensus_categories":[],"category_scores_codex":[0.001092026,0.0006170601,0.0004077422,0.004506033,0.006273061,0.007198166,0.001062485,0.001973452,0.05651027],"category_scores_gemma":[0.006848852,0.0002554909,0.0006790648,0.008022875,0.00157579,0.001666497,0.001688295,0.001717016,0.003245604],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05168071,"about_ca_system_score_gemma":0.1091777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9777983,"about_ca_topic_score_gemma":0.9932935,"domain_scores_codex":[0.9965878,0.0001277023,0.00006268734,0.0001772433,0.001737498,0.001307137],"domain_scores_gemma":[0.9915632,0.0005726723,0.0009661814,0.0002995692,0.004149931,0.002448473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001074884,0.000261817,0.07352844,0.0004700148,0.0000957259,0.0003473118,0.002766431,0.0008667295,0.0007463354,0.1120797,0.6775644,0.1311656],"study_design_scores_gemma":[0.00008288787,0.00003487602,0.2003317,0.0002461037,0.00008244308,0.000109457,0.00528997,0.0004331135,0.0009132238,0.004962868,0.7874446,0.00006879553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09546257,0.003478519,0.0009412629,0.04207476,0.0006057664,0.0003263059,0.01864789,0.0006300145,0.8378329],"genre_scores_gemma":[0.4563919,0.004261992,0.001610524,0.007044417,0.0002060786,0.0001104121,0.008890832,0.0001714085,0.5213124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9483193,"threshold_uncertainty_score":0.3749715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107315381251181,"score_gpt":0.2460971716168413,"score_spread":0.2353656334917232,"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."}}