{"id":"W4285309911","doi":"10.4000/hommesmigrations.13785","title":"Impasses mémorielles","year":2022,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"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":[],"category_scores_codex":[0.0002973479,0.0001524593,0.0002028345,0.00005863758,0.00476631,0.00009718512,0.0002812801,0.00006323394,0.006420548],"category_scores_gemma":[0.0001153894,0.0001788735,0.0001938035,0.0008864934,0.0006082022,0.0001984795,0.0001794498,0.0002744675,0.0001793577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005069135,"about_ca_system_score_gemma":0.000330328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02145343,"about_ca_topic_score_gemma":0.02500332,"domain_scores_codex":[0.9982426,0.000399961,0.0002341433,0.0002329932,0.0004529377,0.0004374059],"domain_scores_gemma":[0.9992916,0.0002633551,0.00009933492,0.0001591455,0.0000676097,0.0001189433],"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":[0.00000137081,0.0001565449,0.0006531739,0.000004084376,0.00004680748,0.000005085876,0.03670767,0.00006333828,0.000005746054,0.2593768,0.6919485,0.01103091],"study_design_scores_gemma":[0.0001121571,0.00007386862,0.001408062,0.000005528354,0.00005605952,0.000001554171,0.06483623,0.00005156821,0.000004966431,0.01202994,0.9212323,0.0001877293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02377921,0.7770284,0.0001740559,0.06882558,0.007354324,0.0003300839,0.000357435,0.0001329776,0.1220179],"genre_scores_gemma":[0.6274787,0.004088829,0.0002206993,0.001036291,0.001292917,0.0001882759,0.00003633462,0.00001580097,0.3656421],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7729396,"threshold_uncertainty_score":0.9965293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04048949768615082,"score_gpt":0.2824934548510289,"score_spread":0.2420039571648781,"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."}}