{"id":"W6907652842","doi":"10.25318/2710006201-fra","title":"Innovation et les stratégies d'entreprise, changements découlant de l'innovation de produits introduite","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); Consumption (sociology); Work (physics); Investment (military)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001551509,0.001625591,0.001224023,0.005828801,0.0009459056,0.002564108,0.002726506,0.00189987,0.02100672],"category_scores_gemma":[0.01107214,0.000581452,0.001574887,0.01345213,0.0005314767,0.001330712,0.001320314,0.002344033,0.02054805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007595371,"about_ca_system_score_gemma":0.01252914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6360354,"about_ca_topic_score_gemma":0.7342869,"domain_scores_codex":[0.9983747,0.0001652164,0.0002041991,0.0003469292,0.0005452357,0.000363678],"domain_scores_gemma":[0.993558,0.001416593,0.0009423239,0.0006633748,0.002932437,0.0004872472],"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":[0.0001001906,0.00003265037,0.009330001,0.0008233238,0.00005787529,0.00002009065,0.00006326983,0.0006941132,0.00008040792,0.00150127,0.983761,0.003535706],"study_design_scores_gemma":[0.0002990045,0.00002547853,0.07273175,0.0007127645,0.0000976297,0.00006072468,0.000338781,0.001192599,0.0003640975,0.001451352,0.9226592,0.00006659926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002927087,0.0001021891,0.00002745893,0.00008001356,0.00001592978,0.000005446991,0.9989144,0.00003441931,0.0005273927],"genre_scores_gemma":[0.001430882,0.000154533,0.0001905886,0.00004390122,0.00001089262,0.00005153801,0.9965527,0.00001686433,0.001548197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3639646,"threshold_uncertainty_score":0.7322161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027448112904612,"score_gpt":0.3047968847830305,"score_spread":0.2845224036539843,"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."}}