{"id":"W2323834269","doi":"10.1177/0956797616629130","title":"How You Use It Matters","year":2016,"lang":"en","type":"article","venue":"Psychological Science","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Object (grammar); Set (abstract data type); Function (biology); Cognition; Visual search; Cognitive psychology; Context (archaeology); Cognitive science; Feature (linguistics); Visual Objects; Visual perception; Communication; Perception; Artificial intelligence; Computer science; Neuroscience; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004630661,0.0006365937,0.0007608692,0.0009164765,0.003465043,0.008216693,0.00106289,0.004619316,0.0668423],"category_scores_gemma":[0.04286384,0.0002883518,0.0004977503,0.000968278,0.007024945,0.01183689,0.003115124,0.004903714,0.04912166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470795,"about_ca_system_score_gemma":0.002457531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004860177,"about_ca_topic_score_gemma":0.003782134,"domain_scores_codex":[0.9951189,0.002107501,0.0002048029,0.0007783357,0.001095125,0.0006953494],"domain_scores_gemma":[0.9850064,0.003803441,0.001524113,0.002081237,0.003621523,0.003963228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008823269,0.00007327119,0.00703771,0.0002849436,0.00007961905,0.0005061515,0.008863498,0.00004631613,0.0005803798,0.04589735,0.7581483,0.1783942],"study_design_scores_gemma":[0.00001223704,0.0000380579,0.002541297,0.0003414276,0.00002441524,0.0007316784,0.005833196,0.00004244682,0.0002238618,0.02465606,0.9655184,0.00003700279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01186333,0.0306205,0.005020946,0.6410362,0.03814308,0.00006421704,0.0006886732,0.0007852966,0.2717778],"genre_scores_gemma":[0.2548006,0.02374177,0.004480865,0.4211351,0.01849841,0.000194304,0.0005093981,0.001689584,0.27495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0668423,"threshold_uncertainty_score":0.2236098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.363789855192711,"score_gpt":0.3564237396841456,"score_spread":0.007366115508565363,"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."}}