{"id":"W3031168140","doi":"10.71781/7731","title":"Migrants brésiliens hautement qualifiés : parcours migratoires, incorporations socioprofessionnelles et familles transnationales","year":2019,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Migration, Racism, and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491366,0.0003208765,0.000354409,0.001277227,0.00595125,0.003468847,0.0006755846,0.0005437104,0.009394751],"category_scores_gemma":[0.003445015,0.0002193875,0.0002784459,0.002359363,0.002973809,0.002367777,0.004020448,0.0009915115,0.0003844513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007270514,"about_ca_system_score_gemma":0.01156304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7160343,"about_ca_topic_score_gemma":0.842096,"domain_scores_codex":[0.9991025,0.0002289187,0.00003820657,0.0001239888,0.0001478381,0.0003586648],"domain_scores_gemma":[0.9982223,0.0003101544,0.0004237698,0.00008344252,0.0005518247,0.0004085648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001049637,0.00004183594,0.2913764,0.0002234663,0.00005522376,0.0008795036,0.6561451,0.0001228539,0.0007875531,0.009141061,0.003176425,0.03794564],"study_design_scores_gemma":[0.000004801796,0.00005985939,0.278373,0.0003256756,0.00003493856,0.0002141085,0.6929405,0.00006371124,0.0001919648,0.0003590941,0.02740096,0.00003139465],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882033,0.001438177,0.0002139012,0.002439801,0.0000412398,0.00002676687,0.0002798586,0.00000768287,0.007349237],"genre_scores_gemma":[0.9908066,0.001445677,0.0002096501,0.000365973,0.00001621532,0.00003200338,0.0001595015,0.000008012657,0.006956401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7160343,"threshold_uncertainty_score":0.5712761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251281323638861,"score_gpt":0.2345459143977867,"score_spread":0.222033101161398,"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."}}