{"id":"W4410089364","doi":"10.26443/law.v69i4.1683","title":"Abortion in the Age of AI","year":2024,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Abortion; Political science; Medicine; Psychology; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000478622,0.00003789065,0.0000925093,0.00007620293,0.0001316564,0.000009371814,0.00005278611,0.00003665952,0.00002272903],"category_scores_gemma":[0.00008637471,0.00002023005,0.00003953612,0.0001781401,0.00005765268,0.00005663886,0.000007860401,0.0004599623,0.000008285152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003101947,"about_ca_system_score_gemma":0.00001024466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008372426,"about_ca_topic_score_gemma":0.0001301491,"domain_scores_codex":[0.9994814,0.00002624287,0.0001751181,0.00007365672,0.0001413299,0.0001022402],"domain_scores_gemma":[0.9997758,0.00002465574,0.00002353429,0.0001206861,0.00003745812,0.00001791409],"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":[0.0001395075,0.0001873163,0.006908005,0.0004257691,0.00005084189,0.002299386,0.0003201119,0.000007929635,0.00505181,0.8808858,0.002915192,0.1008083],"study_design_scores_gemma":[0.0002898357,0.0003011819,0.03254139,0.0002500731,0.00002312103,0.001666401,0.0002369859,0.00001679497,0.005957029,0.01441776,0.9442617,0.00003766416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6928744,0.006466003,0.0002059409,0.0733481,0.001061302,0.0004743454,0.00001143013,0.0001442746,0.2254142],"genre_scores_gemma":[0.9988865,0.0002199692,0.0001601344,0.0005767809,0.0001135647,0.000002949769,0.000001031579,0.000004251682,0.0000347827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9413466,"threshold_uncertainty_score":0.1998333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578763188535195,"score_gpt":0.3486989990211871,"score_spread":0.3129113671358351,"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."}}