{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001628133,0.001012294,0.0008754146,0.0006157042,0.0003684526,0.0004818568,0.0008296749,0.0008125627,0.0003161785],"category_scores_gemma":[0.003926778,0.001288164,0.0000460483,0.002749544,0.0001803353,0.0005059967,0.0002830919,0.001713003,0.0004432445],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162711,"about_ca_system_score_gemma":0.0239869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3139535,"about_ca_topic_score_gemma":0.6549047,"domain_scores_codex":[0.9935236,0.00119245,0.001514344,0.001111184,0.001617946,0.001040489],"domain_scores_gemma":[0.9915706,0.001908158,0.001941601,0.001017571,0.003233504,0.0003285955],"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":[0.00008485971,0.0004774365,0.000602183,0.0009333184,0.0002406792,0.0002015418,0.0003855494,0.0016141,0.0013354,0.07141146,0.9191391,0.003574382],"study_design_scores_gemma":[0.00162608,0.0001762239,0.06812989,0.001423011,0.0004997912,0.00006271013,0.003385601,0.003698902,0.001768939,0.001520912,0.9159774,0.001730538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007324513,0.0002914141,0.003590161,0.004051338,0.001801783,0.001167998,0.9811924,0.00006398296,0.0005164849],"genre_scores_gemma":[0.05465289,0.0002778872,0.002079915,0.000605591,0.0001391903,0.00008807444,0.9397944,0.0002538492,0.00210824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3409512,"threshold_uncertainty_score":0.9989568,"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."}}