{"id":"W4239697909","doi":"10.5325/weslmethstud.6.2014.0228","title":"List of Contributors","year":2014,"lang":"en","type":"article","venue":"Wesley and Methodist Studies","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003634847,0.001131616,0.001596315,0.0111625,0.00282683,0.007127804,0.002566009,0.00194676,0.7789152],"category_scores_gemma":[0.03966302,0.0005167796,0.000739685,0.006819997,0.0005251329,0.004018904,0.00383035,0.002115319,0.7300159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600124,"about_ca_system_score_gemma":0.005656292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402789,"about_ca_topic_score_gemma":0.005493587,"domain_scores_codex":[0.9966788,0.0006801455,0.0002419744,0.0004386821,0.00164743,0.0003128507],"domain_scores_gemma":[0.9640928,0.004600135,0.00112516,0.003819949,0.02208305,0.004278976],"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":[0.00001266969,0.000007150983,0.00009171458,0.000102241,0.000002165887,0.00001394499,0.00001977959,0.00002774081,0.00004232966,0.001349708,0.9823845,0.01594609],"study_design_scores_gemma":[0.000005523076,0.00000471562,0.0002219584,0.0002367053,0.000004372447,0.00003510475,0.0000520166,0.00005558004,0.00008827874,0.001105818,0.9981815,0.000008513638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0013893,0.007909497,0.01009549,0.03068045,0.1117733,0.001384911,0.1698437,0.007892416,0.6590309],"genre_scores_gemma":[0.003015191,0.003033843,0.004362954,0.004691334,0.005921887,0.0009829449,0.04893864,0.002752422,0.9263007],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2210848,"threshold_uncertainty_score":0.3153506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08533759426456931,"score_gpt":0.2768935268605457,"score_spread":0.1915559325959764,"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."}}