{"id":"W3146721543","doi":"10.5195/lawreview.2020.788","title":"A Compelling Case: Exploring the Law of Disclosures After NIFLA","year":2021,"lang":"en","type":"article","venue":"University of Pittsburgh Law Review","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Law; Political science; Law and economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04398951,0.0008735657,0.001679223,0.00346375,0.01597127,0.01995146,0.005963652,0.06763324,0.007760587],"category_scores_gemma":[0.1278075,0.001797356,0.001932968,0.002371277,0.01732313,0.01264784,0.006211801,0.04005587,0.001362844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0106888,"about_ca_system_score_gemma":0.02449753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0459429,"about_ca_topic_score_gemma":0.07887357,"domain_scores_codex":[0.9633707,0.01383486,0.002059787,0.005185281,0.009615509,0.005933812],"domain_scores_gemma":[0.8903531,0.09299777,0.004399709,0.002955254,0.006348319,0.002945782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005552806,0.00006236575,0.0009830403,0.00009209313,0.00003140562,0.0009915222,0.001052216,0.0002011406,0.0001357265,0.8855481,0.1033747,0.007472225],"study_design_scores_gemma":[0.0003579705,0.0001654642,0.004339264,0.002074407,0.0002495307,0.001303973,0.003322888,0.002508617,0.0009589171,0.4245538,0.5599204,0.0002447194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01776943,0.009971491,0.005152069,0.656966,0.003980924,0.000223012,0.0003439672,0.0001284342,0.3054647],"genre_scores_gemma":[0.3376983,0.005563517,0.00413533,0.5816312,0.008325612,0.00087545,0.0001557315,0.0001207472,0.06149421],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06763324,"threshold_uncertainty_score":0.2326415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425171386841946,"score_gpt":0.2817159281712102,"score_spread":0.2274642143027907,"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."}}