{"id":"W7028674764","doi":"","title":"Good deal measurement in asset pricing: Actuarial and financial implications","year":2016,"lang":"en","type":"report","venue":"e-Archivo (Carlos III University of Madrid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arbitrage; Measure (data warehouse); Asset (computer security); Variance (accounting); Financial market; Capital asset pricing model; Financial instrument; Financial asset; Incomplete markets","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.007090044,0.0009056265,0.0007159625,0.00119322,0.0006602184,0.003220875,0.001307531,0.0021329,0.002551427],"category_scores_gemma":[0.0189076,0.0004954129,0.0005491412,0.001371144,0.003621814,0.007997911,0.003132466,0.002716644,0.0003880236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054149,"about_ca_system_score_gemma":0.0003849945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004540053,"about_ca_topic_score_gemma":0.0003255128,"domain_scores_codex":[0.9967918,0.001708281,0.0001780274,0.0004820272,0.0006645198,0.0001753668],"domain_scores_gemma":[0.9914467,0.004821715,0.001466532,0.001207157,0.0006489833,0.000408885],"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":[0.00008834858,0.00007845694,0.002000092,0.00009812264,0.00004746751,0.00010601,0.0002051093,0.05313477,0.003432797,0.8965605,0.0009268557,0.04332152],"study_design_scores_gemma":[0.00001078894,0.0001669053,0.001569066,0.00004026587,0.00002594034,0.00008500824,0.000100798,0.2900735,0.003556536,0.7007635,0.003538183,0.00006945028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04222204,0.002786841,0.9420707,0.003196108,0.0002416537,0.00003722776,0.00005692126,0.0001296416,0.009258823],"genre_scores_gemma":[0.8063485,0.001854984,0.185019,0.0004534633,0.0006522549,0.0001105945,0.00006035545,0.0001037939,0.005396958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007090044,"threshold_uncertainty_score":0.03749621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04612072808868376,"score_gpt":0.2502694498820738,"score_spread":0.2041487217933901,"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."}}