{"id":"W4288048944","doi":"10.4000/hommesmigrations.13920","title":"L’e-entrepreneuriat des cyber-familles transnationales migrantes","year":2022,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006837622,0.0003071347,0.0003215683,0.0002250805,0.004464544,0.0001952822,0.0005206105,0.0001255243,0.0114168],"category_scores_gemma":[0.0001384723,0.0003711673,0.0003899064,0.001006303,0.0008837961,0.0007682169,0.00009256122,0.000347945,0.0002155452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629878,"about_ca_system_score_gemma":0.0004448127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01032234,"about_ca_topic_score_gemma":0.1375596,"domain_scores_codex":[0.9968272,0.0008278489,0.0006115878,0.0005465227,0.000559937,0.0006269442],"domain_scores_gemma":[0.9984236,0.0006200704,0.0002192826,0.0003423147,0.0001736435,0.0002211282],"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":[0.00002612073,0.001281151,0.04610105,0.00009870209,0.0002427757,0.00001150062,0.3133095,0.00393696,0.0002049331,0.2106489,0.3968378,0.02730061],"study_design_scores_gemma":[0.0004360919,0.0001055375,0.02305697,0.00003089708,0.0001577789,0.00001580669,0.07169056,0.001087404,0.00009256754,0.02667935,0.8761553,0.0004917266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.717918,0.2204683,0.001347024,0.04312603,0.002398178,0.0007479759,0.00120414,0.0002066099,0.01258379],"genre_scores_gemma":[0.8866319,0.00536813,0.0009038372,0.0008611031,0.0007230514,0.0003388104,0.0003793135,0.00003659998,0.1047573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4793175,"threshold_uncertainty_score":0.9998741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795025435186536,"score_gpt":0.2724510162579638,"score_spread":0.2445007619060984,"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."}}