{"id":"W6888979835","doi":"10.25318/36280001202200300005-fra","title":"Les activités de brevetage des entreprises résidentes du Canada","year":2022,"lang":"fr","type":"article","venue":"Statistics Canada Dissemination","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Legislation; Order (exchange); State (computer science)","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":[0.001902139,0.0003986828,0.000638714,0.004404608,0.002579838,0.002779875,0.001098694,0.0006115125,0.004817604],"category_scores_gemma":[0.01216301,0.0003971332,0.0005983239,0.009407038,0.0009140138,0.001076508,0.001317719,0.001209888,0.0006046852],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01307848,"about_ca_system_score_gemma":0.02478896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976403,"about_ca_topic_score_gemma":0.9863784,"domain_scores_codex":[0.9977552,0.000218027,0.0001558432,0.0003148197,0.001089751,0.0004663515],"domain_scores_gemma":[0.9857402,0.003150829,0.003520002,0.0005486331,0.005804906,0.001235386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173346,0.00005204925,0.942192,0.0003506979,0.0002504438,0.0001751114,0.01117623,0.0003679088,0.0003273659,0.001104342,0.006348055,0.03753838],"study_design_scores_gemma":[0.000006122368,0.00002014791,0.9719059,0.0002310995,0.00008024415,0.00006938898,0.005703394,0.0002924644,0.0002341615,0.0001140658,0.02131372,0.00002914574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414585,0.005573181,0.00127257,0.001248879,0.00005113312,0.0001203132,0.03705632,0.00004338039,0.0131757],"genre_scores_gemma":[0.9564996,0.007596358,0.001956118,0.0003147363,0.00005407831,0.0001677227,0.01573236,0.00003588392,0.01764316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9869215,"threshold_uncertainty_score":0.09489149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645585661010029,"score_gpt":0.2364850604778596,"score_spread":0.2200292038677593,"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."}}