{"id":"W4234284619","doi":"10.1163/37667dupr_f118","title":"Files and reports of emigrants in Canada (personal information of individual imm…","year":2020,"lang":"en","type":"dataset","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emigration; Business; Database; Computer science; Political science; Law","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":[0.0008741807,0.001776575,0.001273201,0.009656718,0.002065705,0.002682688,0.002696739,0.001398006,0.05627061],"category_scores_gemma":[0.00601893,0.0009363827,0.001259853,0.02187162,0.0004968397,0.0007904054,0.001528517,0.001368193,0.02860688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01041613,"about_ca_system_score_gemma":0.03563439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9671563,"about_ca_topic_score_gemma":0.9664873,"domain_scores_codex":[0.9986662,0.00005931771,0.000138582,0.0002050586,0.0004482357,0.0004826289],"domain_scores_gemma":[0.9936986,0.0005493447,0.0006245016,0.0004267341,0.003859809,0.0008409099],"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":[0.00009060145,0.00002358826,0.006312539,0.0004761486,0.00004401838,0.00004409628,0.0000778854,0.0003726192,0.00006318188,0.0004793299,0.988374,0.003641995],"study_design_scores_gemma":[0.0001845921,0.00001958958,0.08523569,0.0008261947,0.00008206807,0.00009254693,0.0006226384,0.0008499236,0.0004849547,0.0005533568,0.9109694,0.00007903851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002147242,0.00003065972,0.00001342554,0.00002460049,0.000007069708,0.000007600092,0.9993436,0.00003600221,0.0003222304],"genre_scores_gemma":[0.001122219,0.0001230998,0.0001166115,0.00003857887,0.000005242632,0.00004885205,0.996143,0.00002006422,0.002382294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05627061,"threshold_uncertainty_score":0.1882439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009518465931729659,"score_gpt":0.2416658002240913,"score_spread":0.2321473342923616,"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."}}