{"id":"W6907710864","doi":"10.25318/2710020301-fra","title":"Innovation, certaines industries de services, pourcentage de produits qui étaient protégés par des brevets, des marques de commerce ou des droits d'auteur (en terme de contribution au revenu total)","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Local Development; Sanctions","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":[0.0009531811,0.001538577,0.001193479,0.00822481,0.001327831,0.00250044,0.002498979,0.001386731,0.03212079],"category_scores_gemma":[0.007751127,0.0006291335,0.001094088,0.01768618,0.0005079732,0.001003529,0.001175808,0.001873313,0.01974938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01186919,"about_ca_system_score_gemma":0.02667268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9105874,"about_ca_topic_score_gemma":0.9443891,"domain_scores_codex":[0.9984457,0.00008508338,0.0001669408,0.0002778103,0.0005934673,0.0004310379],"domain_scores_gemma":[0.9937314,0.0007851759,0.0008060531,0.0004741907,0.003621166,0.0005820394],"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":[0.00005269807,0.00001732612,0.006175542,0.0003634742,0.00002573865,0.00002256691,0.00005876608,0.0002536034,0.00004838827,0.0007990227,0.989783,0.002399852],"study_design_scores_gemma":[0.0001285966,0.00001321306,0.06630412,0.000330358,0.00004839079,0.0000448892,0.000358079,0.0005270305,0.0003639242,0.0005286842,0.9313117,0.00004101675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003059638,0.00005438783,0.00002932325,0.00006129099,0.00001458797,0.000008648291,0.9986059,0.00005186541,0.0008680937],"genre_scores_gemma":[0.001250682,0.0001158808,0.0001886523,0.00004404328,0.000009166788,0.00004827747,0.9946439,0.00002304108,0.003676334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08941257,"threshold_uncertainty_score":0.1798782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048089861206659,"score_gpt":0.2776661069196469,"score_spread":0.2671852083075803,"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."}}