{"id":"W4238755076","doi":"10.7202/1069003ar","title":"Introduction","year":2018,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec Statistical Institute; Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001584474,0.0009513402,0.0005886694,0.00295079,0.002041704,0.00748573,0.001819017,0.002802338,0.5465063],"category_scores_gemma":[0.00465549,0.0003492979,0.000549646,0.002965904,0.0009626384,0.004169545,0.002785568,0.001981252,0.3707389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918391,"about_ca_system_score_gemma":0.004431133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02766686,"about_ca_topic_score_gemma":0.02472472,"domain_scores_codex":[0.9985163,0.0001551305,0.00005541352,0.0003414516,0.0007558563,0.0001758655],"domain_scores_gemma":[0.9975142,0.0002437861,0.00009905049,0.0002888779,0.00134639,0.0005077487],"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":[0.00004230956,0.00002798468,0.0004228159,0.0001995533,0.000003468393,0.00007335733,0.000214115,0.00006791267,0.0002947115,0.02565932,0.8288096,0.144185],"study_design_scores_gemma":[0.000001659001,0.000004033254,0.0002141837,0.00008348888,8.193638e-7,0.00004900135,0.00005513454,0.00001527477,0.00005812753,0.0009474136,0.9985672,0.000003690214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001704171,0.01208381,0.005344418,0.01790867,0.01168322,0.0002689959,0.01186078,0.002660248,0.9364857],"genre_scores_gemma":[0.007198021,0.00568586,0.002455968,0.003082052,0.00198747,0.0001436579,0.005608861,0.0006718122,0.9731663],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4534937,"threshold_uncertainty_score":0.6468537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06596013378070119,"score_gpt":0.2666458535248419,"score_spread":0.2006857197441407,"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."}}