{"id":"W1971896100","doi":"10.7490/f1000research.1095951.1","title":"Probability cues enhance perceptual estimations","year":2014,"lang":"en","type":"article","venue":"","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Open peer review; Plant biology; Perception; Neuroscience; Biology; Psychology; Cognitive psychology; Physiology; Audiology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086751,0.00111709,0.000597492,0.001384032,0.0004315628,0.003286194,0.0004968601,0.001229353,0.01079446],"category_scores_gemma":[0.0202042,0.0006406039,0.0005504917,0.001058871,0.000477385,0.006722375,0.001877039,0.00169519,0.001857578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003663024,"about_ca_system_score_gemma":0.0004390807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128994,"about_ca_topic_score_gemma":0.001306583,"domain_scores_codex":[0.9993767,0.0001421272,0.0000324236,0.0001884268,0.0001895894,0.00007082938],"domain_scores_gemma":[0.9941367,0.004020714,0.0004514856,0.0005067343,0.0006656623,0.000218608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003094039,0.0003317596,0.006278762,0.0008012875,0.0001827728,0.0004430273,0.0005222199,0.04291489,0.1852962,0.02709833,0.008263512,0.7247732],"study_design_scores_gemma":[0.000211393,0.001087528,0.06049909,0.0003551426,0.0007234091,0.0009469025,0.0005963565,0.7483315,0.08554362,0.08565351,0.0157161,0.0003354438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2995773,0.003375249,0.6573623,0.001320221,0.001080319,0.0001542948,0.0006013004,0.00179345,0.03473562],"genre_scores_gemma":[0.9014422,0.002075746,0.08967508,0.0003629228,0.0004464418,0.00003692972,0.0004234819,0.0005365042,0.005000697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01079446,"threshold_uncertainty_score":0.03611106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2039825116651368,"score_gpt":0.428835055956351,"score_spread":0.2248525442912142,"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."}}