{"id":"W6945457356","doi":"10.25318/2710012501-fra","title":"Innovation et stratégies d'entreprise, type de concurrent pour le bien ou service s'étant le mieux vendu, par industrie et la taille","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":"Service (business); Productivity; Context (archaeology); Subject (documents)","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":[0.001171234,0.001506725,0.001210949,0.00581392,0.00125272,0.002681084,0.002863622,0.001765377,0.04193076],"category_scores_gemma":[0.01100979,0.0006561377,0.001208303,0.01413645,0.0005179126,0.001297728,0.001530525,0.002456044,0.03019762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009907413,"about_ca_system_score_gemma":0.01852982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.775485,"about_ca_topic_score_gemma":0.8566199,"domain_scores_codex":[0.9985914,0.0001269547,0.0001677232,0.000273161,0.0004508469,0.0003899488],"domain_scores_gemma":[0.9926162,0.00143734,0.0008197388,0.000686815,0.003765663,0.0006741827],"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":[0.00004354789,0.00001529859,0.003778622,0.000404186,0.00002364591,0.00001199355,0.00004210088,0.0002265531,0.0000293005,0.0008260675,0.9930183,0.001580502],"study_design_scores_gemma":[0.0002321693,0.00001365173,0.04780921,0.0006181533,0.00006076546,0.00003891434,0.0003333237,0.0004978044,0.0001879709,0.0009181836,0.9492423,0.00004741829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001478605,0.00004973192,0.00001991139,0.00006646208,0.00001180484,0.000005377171,0.9990939,0.00003083302,0.0005741031],"genre_scores_gemma":[0.0009991584,0.0001107938,0.0001576838,0.00004610973,0.000008456605,0.00006259308,0.9964265,0.00002157123,0.002167246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.224515,"threshold_uncertainty_score":0.4516743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506985679793391,"score_gpt":0.3104960518831736,"score_spread":0.2854261950852397,"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."}}