{"id":"W4290644151","doi":"10.32920/19642794.v1","title":"Sin of Omission - Coded Data and List and Description of Immigration and Refugee Board files in Data Set","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Immigration; Political science; Credibility; 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":[0.008848079,0.0008891344,0.0006952003,0.008566503,0.003772604,0.002409433,0.001748145,0.002001611,0.07865641],"category_scores_gemma":[0.07073197,0.0009183047,0.0004404087,0.01019524,0.001730495,0.001642614,0.002897664,0.002525754,0.03306913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005875791,"about_ca_system_score_gemma":0.01241153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04986114,"about_ca_topic_score_gemma":0.05319774,"domain_scores_codex":[0.98656,0.003344105,0.002691341,0.001311076,0.004702367,0.001391124],"domain_scores_gemma":[0.9219338,0.02643755,0.01108504,0.01517102,0.02394328,0.001429354],"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":[0.0003924368,0.0003225384,0.02645774,0.0006516213,0.00001672347,0.0002872703,0.004269877,0.0006539313,0.0006555541,0.01592548,0.9197682,0.03059852],"study_design_scores_gemma":[0.0001551434,0.00006881526,0.06217954,0.0008606733,0.0000155711,0.0002072539,0.005233116,0.0006969397,0.002499882,0.006367186,0.9215873,0.000128513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01910802,0.00009223719,0.003701393,0.001302642,0.000446225,0.004553473,0.9454188,0.0004243739,0.02495288],"genre_scores_gemma":[0.05172396,0.0002263722,0.01724355,0.001051656,0.0001194288,0.03784939,0.8529251,0.0006433713,0.03821721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07865641,"threshold_uncertainty_score":0.2631319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1998052952107982,"score_gpt":0.4022193607713374,"score_spread":0.2024140655605392,"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."}}