{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002706287,0.0001645649,0.0001947018,0.00001943499,0.00130587,0.0002116812,0.00007619804,0.00006153244,0.01428181],"category_scores_gemma":[0.00005445399,0.0001405896,0.0001807055,0.00009495698,0.0002836225,0.0001914814,0.00004891896,0.0001558432,0.001030251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008136246,"about_ca_system_score_gemma":0.00005465726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351834,"about_ca_topic_score_gemma":0.02314088,"domain_scores_codex":[0.9991184,0.00004573081,0.0002211392,0.0002140182,0.0001365609,0.0002641516],"domain_scores_gemma":[0.999413,0.00006222882,0.00004702383,0.0001639343,0.0002277161,0.00008611851],"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":[8.001751e-7,0.0001608068,0.00003789722,0.00002581794,0.0000548261,0.000022191,0.007448209,0.000002517634,0.00003116359,0.2698933,0.7097814,0.01254103],"study_design_scores_gemma":[0.0001224057,0.00004381144,0.0003807759,0.00005639641,0.0001024622,0.00001131782,0.009268668,0.00001848602,0.00007439869,0.002907945,0.9868116,0.0002017113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002430903,0.832736,0.0000273003,0.0615034,0.00262218,0.00006444489,0.000238819,0.0000563394,0.1003206],"genre_scores_gemma":[0.0533946,0.006189597,0.0001498506,0.0008562395,0.002112518,0.00002918581,0.0001220698,0.00001115477,0.9371348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8368142,"threshold_uncertainty_score":0.9999943,"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."}}