{"id":"W2022334978","doi":"10.5539/ass.v11n11p95","title":"Compensation for Loss of Commodity Value: Theoretical and Practical Aspects","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compensation (psychology); Legislator; Normative; Value (mathematics); Liability; Law and economics; Business; Liability insurance; Actuarial science; Commodity; Legal liability; Law; Economics; Insurance policy; Political science; Accounting; Finance; Legislation; Psychology; Social psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01015744,0.001078873,0.0005856759,0.002884028,0.003994675,0.009722061,0.003392537,0.009532264,0.01239708],"category_scores_gemma":[0.02356221,0.0006906126,0.0008753184,0.002217107,0.03195035,0.01539658,0.005415366,0.005739355,0.0008188339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00827767,"about_ca_system_score_gemma":0.005126523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321353,"about_ca_topic_score_gemma":0.002749184,"domain_scores_codex":[0.9921302,0.00331649,0.0003565,0.0007548242,0.002678386,0.0007635547],"domain_scores_gemma":[0.9848304,0.01082286,0.001320232,0.001322713,0.001435542,0.0002682154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004466043,0.00001943846,0.0002092314,0.00003202337,0.00000182081,0.0001035061,0.0001653125,0.001044892,0.0000328651,0.9941769,0.0006837201,0.003525878],"study_design_scores_gemma":[0.000006825336,0.00002850902,0.0003834235,0.0001863208,0.000005703816,0.0003154464,0.000844449,0.003965192,0.0002225819,0.9796468,0.01437052,0.00002414296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04508796,0.01433962,0.2182122,0.119596,0.001302703,0.0002973211,0.0001380819,0.00008856868,0.6009375],"genre_scores_gemma":[0.93683,0.00656218,0.02468973,0.002924073,0.001481258,0.0003221912,0.00005152242,0.00003815706,0.02710088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01239708,"threshold_uncertainty_score":0.06005895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219323482608483,"score_gpt":0.2815737052221067,"score_spread":0.2593804703960219,"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."}}