{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544493,0.0001126564,0.0001036639,0.00006484916,0.0004368372,0.000219324,0.0004591243,0.00003649541,0.0003493272],"category_scores_gemma":[0.002024608,0.00005410458,0.00004707323,0.0005360724,0.001815093,0.0008913924,0.0001036409,0.00007708274,0.000657586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002972896,"about_ca_system_score_gemma":0.000005596801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.153425e-7,"about_ca_topic_score_gemma":3.596036e-7,"domain_scores_codex":[0.9982346,0.00007239752,0.0001084559,0.0007350284,0.0004284618,0.0004210185],"domain_scores_gemma":[0.9991093,0.0003291551,0.00005205699,0.0003181191,0.00003816856,0.000153205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002277436,0.00005610239,0.002818815,5.423824e-7,4.452438e-7,0.00001285994,0.00004808012,2.479954e-7,0.9804596,0.002036612,0.007172343,0.007371619],"study_design_scores_gemma":[0.0006920395,0.0004057885,0.194429,0.0000208879,0.000004875669,0.00009355114,0.000166084,0.000009131691,0.1918417,0.002045182,0.6097948,0.0004969515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128073,0.000003181524,0.001592735,0.07837263,0.001088788,0.0001011873,0.000007922173,0.0001470232,0.005879261],"genre_scores_gemma":[0.9739336,0.0000279107,0.000123281,0.01560517,0.00005112113,0.000007261296,2.590585e-8,0.000003379165,0.01024824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7886178,"threshold_uncertainty_score":0.8452157,"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."}}