{"id":"W4210531409","doi":"10.4000/hommesmigrations.13093","title":"Bonne Mère","year":2021,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"French Historical and Cultural Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009499106,0.0004729421,0.0002434744,0.0009988319,0.009157219,0.003519359,0.000364236,0.001418567,0.0261859],"category_scores_gemma":[0.0009075337,0.0001922572,0.0002396677,0.000740848,0.00454513,0.00201051,0.00219368,0.002236848,0.002899866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004817274,"about_ca_system_score_gemma":0.002877963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03636589,"about_ca_topic_score_gemma":0.1201677,"domain_scores_codex":[0.9992888,0.0002168824,0.00001742881,0.0001085295,0.0001344857,0.0002338536],"domain_scores_gemma":[0.9996886,0.00007869021,0.00004576571,0.00002362553,0.00007945333,0.00008386024],"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":[0.000191789,0.00003659816,0.004620747,0.0004236188,0.00001615924,0.001595713,0.1753962,0.00007533779,0.002017278,0.631065,0.09883392,0.08572759],"study_design_scores_gemma":[0.000002220722,0.00002443289,0.004091808,0.0001594426,0.000002755044,0.0003449271,0.01360784,0.00001099433,0.0001774474,0.00165469,0.9799132,0.0000101722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1221489,0.02173966,0.001843618,0.01979529,0.004287088,0.00009166246,0.0004154597,0.0001113703,0.829567],"genre_scores_gemma":[0.4998186,0.004716577,0.001067022,0.003103485,0.0004254926,0.00006249333,0.0001902232,0.00009386802,0.4905223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03636589,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318343719313587,"score_gpt":0.2218508834925606,"score_spread":0.1900165115612019,"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."}}