{"id":"W4385961564","doi":"10.7202/1100845ar","title":"Introduction","year":2023,"lang":"en","type":"article","venue":"Arborescences Revue d études françaises","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.001834458,0.0005137069,0.0003909753,0.001174414,0.002300582,0.003792915,0.001533113,0.001878538,0.3498149],"category_scores_gemma":[0.006000295,0.0001705246,0.0005553286,0.001136168,0.0008880397,0.001764771,0.002461823,0.00141106,0.1312505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143882,"about_ca_system_score_gemma":0.00498806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130345,"about_ca_topic_score_gemma":0.01355272,"domain_scores_codex":[0.9984547,0.0002885253,0.00006900715,0.0003469188,0.0005407971,0.0002999187],"domain_scores_gemma":[0.9974044,0.0003341384,0.0001202069,0.0003213277,0.001218055,0.0006019484],"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":[0.0001807129,0.0001213856,0.00439975,0.0003661777,0.00001278987,0.0003861112,0.002071298,0.0001506712,0.0005799862,0.1009647,0.5794642,0.3113023],"study_design_scores_gemma":[0.00000791898,0.00002596407,0.001551823,0.000177875,0.000003903254,0.00017507,0.0006013542,0.0000308043,0.0001251945,0.003720434,0.9935722,0.000007411159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.009110152,0.002817006,0.006933395,0.01583743,0.006629268,0.0004124932,0.005440478,0.0007941966,0.9520255],"genre_scores_gemma":[0.05633754,0.002485565,0.006529834,0.009887626,0.001318765,0.000468466,0.005098587,0.000385446,0.9174882],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3498149,"threshold_uncertainty_score":0.9274102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056349241749504,"score_gpt":0.307721314145518,"score_spread":0.2771578217280229,"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."}}