{"id":"W2324861547","doi":"10.1016/j.melaen.2013.09.004","title":"Accueillir et concevoir la petite enfance au Canada","year":2013,"lang":"fr","type":"article","venue":"Métiers de la Petite Enfance","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art; Forestry; Geography","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001014071,0.0004064945,0.0004136044,0.00006053951,0.0006507912,0.0003365826,0.0006470959,0.0003999164,0.001749809],"category_scores_gemma":[0.0004697894,0.0004547565,0.0001685107,0.0006389152,0.001413416,0.0008675362,0.0001127642,0.0007840633,0.0002668329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262656,"about_ca_system_score_gemma":0.003285899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7419099,"about_ca_topic_score_gemma":0.6180599,"domain_scores_codex":[0.9959846,0.001161437,0.0004162421,0.0006125852,0.0007081629,0.00111701],"domain_scores_gemma":[0.9973998,0.001223181,0.0002743894,0.0004467689,0.0001636025,0.0004922483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005671654,0.0002899069,0.1279918,0.0004061279,0.000218771,0.0002918406,0.03840731,0.002345322,0.0005421683,0.4250127,0.2984292,0.1060081],"study_design_scores_gemma":[0.0004056165,0.00003168178,0.08855594,0.0003436892,0.0000299996,0.0000223751,0.001438512,0.0003103006,0.00009160225,0.001429137,0.9068108,0.0005303281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5892446,0.006900504,0.0006892834,0.04739853,0.003825396,0.0005789513,0.0001581796,0.0001520837,0.3510524],"genre_scores_gemma":[0.9186662,0.006850462,0.001637005,0.00657439,0.002284977,0.00007627677,0.000030706,0.00006206994,0.06381792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6083816,"threshold_uncertainty_score":0.9997904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006878053631216761,"score_gpt":0.2969036756599848,"score_spread":0.290025622028768,"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."}}