{"id":"W7021187384","doi":"","title":"No More Chances for Lost Chances: A Weinribian Response to Weinrib","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Psychology Research and Bibliometrics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tort; Doctrine; Damages; Context (archaeology); Cause of action; Liability; Compensation (psychology); Interpretation (philosophy); Action (physics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002006824,0.0003745074,0.0005361876,0.002198303,0.0002130087,0.000170227,0.00111885,0.0003852944,0.007326582],"category_scores_gemma":[0.0008041117,0.0003394228,0.0002295233,0.005032378,0.0002064135,0.0003286308,0.0001722598,0.0005460671,0.0476177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007869,"about_ca_system_score_gemma":0.0001181041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966404,"about_ca_topic_score_gemma":0.0002186279,"domain_scores_codex":[0.995979,0.000366923,0.0004628419,0.001114314,0.0005902959,0.001486595],"domain_scores_gemma":[0.996451,0.0008619819,0.0001483544,0.00131076,0.0004048659,0.000823036],"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":[0.05175756,0.002063077,0.05046425,0.0004603516,0.001339175,0.0003756659,0.002368907,0.00001538046,0.07111841,0.04608081,0.7612077,0.01274871],"study_design_scores_gemma":[0.003299922,0.002663981,0.0195355,0.0001042618,0.00002261146,0.0000316105,0.0003894678,0.0000199837,0.001146856,0.0005860873,0.9716564,0.0005433057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8926927,0.002401723,0.0004047593,0.006977683,0.004658765,0.002563693,0.0003390243,0.0002062581,0.08975543],"genre_scores_gemma":[0.7962399,0.0001094682,0.00189414,0.01136127,0.001490398,0.000759899,0.00005451431,0.0001150232,0.1879754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2104487,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420563382109556,"score_gpt":0.3676241853438642,"score_spread":0.3255678471329085,"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."}}