{"id":"W3123040789","doi":"","title":"Suppressing Damages in Involuntary Parenthood Actions: Contorting Tort Law, Denying Reproductive Freedom, and Discriminating Against Mothers","year":2014,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damages; Tort; Law; Psychology; Political science; Liability","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009623333,0.0002617033,0.0004912399,0.0001548819,0.0004015079,0.00008288935,0.0001374426,0.0001586761,0.00001430691],"category_scores_gemma":[0.002840573,0.0002413076,0.00006122156,0.0002325963,0.0004153283,0.0005831613,0.0001524694,0.0006831574,0.000007123679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945637,"about_ca_system_score_gemma":0.00006583951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002841431,"about_ca_topic_score_gemma":0.001443299,"domain_scores_codex":[0.9975932,0.0001563579,0.0005494448,0.0009029247,0.0002672054,0.0005308669],"domain_scores_gemma":[0.9984651,0.000180931,0.0002489443,0.0007800735,0.000125667,0.0001992782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003694033,0.0004454327,0.7987835,0.001277513,0.0001752319,0.000143792,0.003009782,0.0001616595,0.07216711,0.03777218,0.0007522492,0.08494212],"study_design_scores_gemma":[0.007352721,0.00101025,0.8322815,0.004619844,0.0003145407,0.0003070769,0.03080214,0.001854572,0.0744594,0.01409071,0.03121167,0.001695627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823253,0.001758222,0.0001346325,0.002080539,0.0003504294,0.00063096,0.000004994378,0.000315627,0.01239934],"genre_scores_gemma":[0.9920046,0.0001317656,0.006259512,0.0007435837,0.0005857165,0.00008767979,0.00001947979,0.00004630228,0.0001213424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0832465,"threshold_uncertainty_score":0.984024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248712984565281,"score_gpt":0.3040957375273994,"score_spread":0.2716086076817466,"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."}}