{"id":"W4290643187","doi":"10.32920/19642794","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":"Ethics in medical practice","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Immigration; Credibility; Political science; Public domain; Plaintiff; Law; Theology; Philosophy","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":[0.0120344,0.0008174431,0.0006760432,0.008162033,0.0042462,0.002673707,0.00172315,0.002105783,0.07623584],"category_scores_gemma":[0.08994415,0.0009179701,0.0004236591,0.01032153,0.001956528,0.001850881,0.003149629,0.002672757,0.03311833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006581997,"about_ca_system_score_gemma":0.01398276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05017067,"about_ca_topic_score_gemma":0.05281748,"domain_scores_codex":[0.9829615,0.00484455,0.003261504,0.00152049,0.005784514,0.001627431],"domain_scores_gemma":[0.9046301,0.03649075,0.01202333,0.01808499,0.02721477,0.001556012],"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":[0.0003602187,0.0003031651,0.02409329,0.0006156503,0.00001437198,0.0002788435,0.005959032,0.000612624,0.0006031811,0.02114928,0.913636,0.03237445],"study_design_scores_gemma":[0.0001464511,0.00006309165,0.05464212,0.0009485991,0.0000138572,0.0001941957,0.006520245,0.0007444738,0.002358867,0.007957213,0.9262773,0.000133699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02557296,0.0001221331,0.006254632,0.002244462,0.0007788683,0.006627136,0.9186968,0.0005708776,0.03913221],"genre_scores_gemma":[0.0684762,0.000291462,0.02710732,0.001754517,0.0001865723,0.05296926,0.7927307,0.0009346774,0.05554933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07623584,"threshold_uncertainty_score":0.2550343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3365493219994816,"score_gpt":0.5300780942452344,"score_spread":0.1935287722457529,"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."}}