{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006690606,0.0002528187,0.0002627639,0.00008479926,0.0006114434,0.0000513355,0.0002269019,0.0003094684,0.004813924],"category_scores_gemma":[0.0004378375,0.0002072891,0.0001394038,0.0005455908,0.0009598226,0.0007059484,0.00004798668,0.0002307114,0.0008769702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000880593,"about_ca_system_score_gemma":0.0003278833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167547,"about_ca_topic_score_gemma":0.05203327,"domain_scores_codex":[0.9977162,0.0005650271,0.0004133074,0.0004741215,0.0003852111,0.0004461581],"domain_scores_gemma":[0.9987335,0.0001754432,0.0002530286,0.0003830222,0.0002418793,0.0002131563],"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":[0.0000139009,0.00008363365,0.0002625662,0.00002105314,0.00001589924,0.000007051938,0.007929849,0.00002823218,0.0008359703,0.6272637,0.2224602,0.141078],"study_design_scores_gemma":[0.0003456039,0.00006916792,0.0003672321,0.0001142667,0.000020124,0.000009288798,0.0009936406,0.0003842462,0.0000533106,0.002776983,0.9945514,0.0003147375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01566203,0.002907097,0.007425685,0.8036064,0.007755869,0.0002881483,0.00006078774,0.0002595217,0.1620345],"genre_scores_gemma":[0.2480519,0.001801832,0.00117797,0.001327724,0.003266064,0.00001936915,0.00002285239,0.00003871046,0.7442936],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8022787,"threshold_uncertainty_score":0.9999009,"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."}}