{"id":"W6945349315","doi":"10.25318/2710032101-eng","title":"Introduction of organizational innovations by industry and enterprise size","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Industry 4.0; Enterprise software; Productivity; Enterprise system; Organizational learning","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":[0.001120944,0.001394926,0.0014613,0.005396389,0.0009602865,0.002039883,0.003382491,0.001417573,0.02839708],"category_scores_gemma":[0.009424815,0.0006773791,0.001415001,0.01167131,0.0004427237,0.0009267243,0.001600614,0.001768722,0.01573067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006303949,"about_ca_system_score_gemma":0.01176209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5479349,"about_ca_topic_score_gemma":0.6968862,"domain_scores_codex":[0.9986727,0.0001087059,0.0001863817,0.0003434743,0.0003821464,0.0003065567],"domain_scores_gemma":[0.9938871,0.001029313,0.0009333111,0.0006540608,0.002832421,0.0006638038],"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":[0.0001050878,0.00002197998,0.007566837,0.0009985857,0.0001056985,0.00001873458,0.00003400692,0.0003218699,0.0000544774,0.0005786351,0.9884248,0.001769243],"study_design_scores_gemma":[0.000821489,0.00003179396,0.1167419,0.001185495,0.000237473,0.00008430627,0.0002870134,0.0007781764,0.0003577084,0.0009460304,0.8784543,0.00007428453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002100768,0.0000478928,0.00001616483,0.00003548706,0.000006723919,0.00000519434,0.9994035,0.00003099774,0.0002439549],"genre_scores_gemma":[0.00113638,0.00007757214,0.0001218415,0.00004040468,0.000006091288,0.00004779414,0.9978289,0.00001652663,0.0007244569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4520651,"threshold_uncertainty_score":0.9094547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002146618785863101,"score_gpt":0.2391819032819439,"score_spread":0.2370352844960808,"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."}}