{"id":"W2465495816","doi":"10.1111/psyp.12655","title":"Award for distinguished contributions to psychophysiology: Gregory A. Miller","year":2016,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Academic and Historical Perspectives in Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychophysiology; Psychology; Miller; Psychoanalysis; Cognitive science; Neuroscience; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005921417,0.002074925,0.001909908,0.002183896,0.001923297,0.005123002,0.001412488,0.003628439,0.06898753],"category_scores_gemma":[0.008761898,0.0005313134,0.0008685639,0.0006755244,0.001260545,0.002156869,0.005865903,0.006246286,0.04930318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003405147,"about_ca_system_score_gemma":0.007039989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488614,"about_ca_topic_score_gemma":0.00321809,"domain_scores_codex":[0.9957072,0.000501524,0.0001993786,0.0006411175,0.002391016,0.0005597651],"domain_scores_gemma":[0.9842657,0.0004859824,0.000490969,0.0002548638,0.005761995,0.008740557],"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":[0.000068662,0.00003430169,0.0002449047,0.00005529061,0.000008495521,0.00010955,0.00006138344,0.00002887949,0.000423337,0.001937232,0.9592281,0.03779984],"study_design_scores_gemma":[0.00004478312,0.0001281157,0.00150649,0.0002209817,0.00001311886,0.0009545676,0.0001649283,0.0001887885,0.0003264151,0.001714428,0.994709,0.00002834071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00351576,0.04325325,0.00509361,0.3720383,0.4766038,0.0005246595,0.0007237739,0.0007027723,0.09754398],"genre_scores_gemma":[0.03832158,0.04070495,0.005881828,0.05998758,0.1101311,0.0005464153,0.0008883579,0.0005624176,0.7429758],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06898753,"threshold_uncertainty_score":0.2307863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149660141370697,"score_gpt":0.3956501742292921,"score_spread":0.3741535728155851,"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."}}