{"id":"W7055308581","doi":"","title":"Big data and innovation: key themes for competition policy in Canada (2018)","year":2022,"lang":"en","type":"other","venue":"ANU Open Research (Australian National University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Big data; Key (lock); Competition (biology); Competition policy; Government (linguistics)","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":[0.004689595,0.0005857375,0.0006210595,0.002936791,0.01369875,0.01877175,0.001550792,0.006042305,0.02751964],"category_scores_gemma":[0.01251751,0.0004565369,0.0007069369,0.007687178,0.00468519,0.004986096,0.005100242,0.006442008,0.004190673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1123172,"about_ca_system_score_gemma":0.4263859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810097,"about_ca_topic_score_gemma":0.9916401,"domain_scores_codex":[0.9936565,0.0002619816,0.0001381894,0.0002482212,0.003903785,0.001791312],"domain_scores_gemma":[0.9800507,0.001575426,0.0003763571,0.0003566353,0.00964212,0.007998826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001486111,0.00001038845,0.0008837385,0.00006097409,0.000006188549,0.00003699412,0.0003522604,0.00009688111,0.00004083406,0.02990309,0.9480093,0.02058446],"study_design_scores_gemma":[0.00001169876,0.000006294343,0.008546135,0.0002749832,0.000008730409,0.00002338779,0.002259765,0.0003241633,0.0001291326,0.01295617,0.9754103,0.0000492723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006405659,0.02309301,0.0008933022,0.7944548,0.01061717,0.000127631,0.01404106,0.0003421344,0.1500252],"genre_scores_gemma":[0.1217638,0.04945247,0.003840467,0.1365866,0.005334417,0.0002222244,0.009518315,0.0005455604,0.6727362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1123172,"threshold_uncertainty_score":0.8149218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1895492924001082,"score_gpt":0.3690415734992447,"score_spread":0.1794922810991365,"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."}}