{"id":"W4253711644","doi":"10.4000/alhim.5416","title":"Introduction","year":2016,"lang":"fr","type":"article","venue":"Amérique latine histoire et mémoire","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002251298,0.0007382273,0.0004700574,0.001032044,0.002871273,0.005388755,0.002451804,0.003494348,0.3901493],"category_scores_gemma":[0.007213383,0.0002445308,0.0005390744,0.001292948,0.001490291,0.003942471,0.003784075,0.002856362,0.203723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002781298,"about_ca_system_score_gemma":0.004120576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005846672,"about_ca_topic_score_gemma":0.004983768,"domain_scores_codex":[0.9978154,0.0004168386,0.0001097249,0.0005559152,0.0007886231,0.0003135499],"domain_scores_gemma":[0.9968912,0.0004236538,0.0001637776,0.0003374864,0.001548881,0.0006350606],"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":[0.0000875666,0.00006991712,0.001915545,0.000437293,0.000007695928,0.000291752,0.001802083,0.0001244522,0.0004556283,0.09279644,0.7141685,0.1878432],"study_design_scores_gemma":[0.00000280121,0.00001575684,0.0005924571,0.0001748513,0.000001734396,0.0001202865,0.0004517594,0.00002314799,0.00007284799,0.003958917,0.9945801,0.000005327826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005285566,0.009675301,0.008518162,0.05298509,0.01824985,0.0003404189,0.006003779,0.001130039,0.8978118],"genre_scores_gemma":[0.03706936,0.007455502,0.004798328,0.02134471,0.004052586,0.0003263742,0.005587205,0.0004401237,0.9189257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6098507,"threshold_uncertainty_score":0.869878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018400509567108,"score_gpt":0.2579468616747326,"score_spread":0.2477628565790615,"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."}}