{"id":"W6945252506","doi":"10.25318/2710032001-fra","title":"Introduction d'innovations de procédés, selon l'industrise et la taille de l'entreprise","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":"Field (mathematics); Statistical analysis; 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":[0.001613213,0.001921432,0.001503057,0.006568847,0.000905098,0.002447943,0.002668794,0.001968941,0.02646792],"category_scores_gemma":[0.01008702,0.0007438479,0.002032414,0.01355751,0.0006083391,0.001455122,0.001408804,0.002217901,0.01923244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008100259,"about_ca_system_score_gemma":0.01273367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6222316,"about_ca_topic_score_gemma":0.6998636,"domain_scores_codex":[0.9978157,0.0002128306,0.000241176,0.0004791264,0.0009128992,0.0003381414],"domain_scores_gemma":[0.9934078,0.001468303,0.0007770737,0.0007746342,0.00316125,0.0004109884],"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":[0.00007925506,0.00002482621,0.004506479,0.001353307,0.00005360144,0.00001891418,0.00004350591,0.0007622662,0.00007547252,0.001274968,0.9871687,0.004638812],"study_design_scores_gemma":[0.0001553688,0.00001391086,0.03108787,0.0006855887,0.00005943544,0.00003262955,0.0001328362,0.0005683646,0.0002668402,0.000965902,0.9659901,0.00004105637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002172334,0.0002336129,0.00007200291,0.0000672108,0.00002433455,0.000009968115,0.9983211,0.00007260938,0.0009818082],"genre_scores_gemma":[0.001197525,0.0003150692,0.0003529678,0.00005374738,0.00001848977,0.00007087945,0.9955233,0.00003436052,0.0024336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3777684,"threshold_uncertainty_score":0.7599863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008119116929458181,"score_gpt":0.2807249706404903,"score_spread":0.2726058537110322,"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."}}