{"id":"W2900472879","doi":"","title":"Being Specific About Specific Performance","year":2018,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damages; Conveyancing; Property (philosophy); Business; Real property; Law; Law and economics; Economics; Political science","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002503237,0.0001389426,0.000164193,0.0001340014,0.00248696,0.0001315096,0.0006271398,0.00009939159,0.0008712538],"category_scores_gemma":[0.00000944259,0.0001634598,0.0001124892,0.0009190643,0.0007039465,0.001611081,0.0001849984,0.0001692405,0.001131968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228403,"about_ca_system_score_gemma":0.0001850726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005049891,"about_ca_topic_score_gemma":0.001138069,"domain_scores_codex":[0.9985974,0.00007952356,0.0001247632,0.0003819475,0.0003673368,0.0004490033],"domain_scores_gemma":[0.9991919,0.00006599526,0.00008295984,0.0003682949,0.0001262445,0.0001646178],"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":[0.00008243544,0.00008764491,0.004762896,0.000007901453,0.00001841009,0.00002443147,0.00445474,0.000006340284,0.0003185481,0.9646003,0.02329484,0.002341491],"study_design_scores_gemma":[0.0003905428,0.00004215051,0.02960863,0.00002265744,0.00001073769,0.000001513042,0.006007017,0.00009522997,0.0001450363,0.0005483055,0.9628913,0.0002368895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6971275,0.0000545952,0.00106408,0.001320964,0.0003304328,0.0002513092,0.000119976,0.00009722159,0.2996339],"genre_scores_gemma":[0.9084786,0.0006144533,0.0004665338,0.0001112283,0.000687883,0.000001080898,0.00001056689,0.00001226901,0.08961743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.964052,"threshold_uncertainty_score":0.9996458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658981224657238,"score_gpt":0.2306612683809784,"score_spread":0.214071456134406,"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."}}