{"id":"W6950029135","doi":"10.5281/zenodo.2535941","title":"Constrained sampling from deep generative image models reveals mechanisms of human target detection","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sampling (signal processing); Pattern recognition (psychology); Image (mathematics); Code (set theory); Noise (video); Object detection","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":[0.000586592,0.0005755523,0.0004908148,0.0007774638,0.0004451439,0.001717859,0.001078377,0.001165198,0.1339647],"category_scores_gemma":[0.007775271,0.0005303596,0.0006525149,0.000957361,0.0005713587,0.001885326,0.001385374,0.001507041,0.05347987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006114481,"about_ca_system_score_gemma":0.0005508481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005836255,"about_ca_topic_score_gemma":0.01238532,"domain_scores_codex":[0.9997439,0.00005132046,0.000008845753,0.00008410965,0.00008218539,0.00002963701],"domain_scores_gemma":[0.998015,0.001027121,0.00006225567,0.0004973512,0.0002859632,0.0001121872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004938939,0.0001027717,0.004918663,0.0003418495,0.0000943565,0.0003484427,0.0002251473,0.07231343,0.01635556,0.08613487,0.6394438,0.1792271],"study_design_scores_gemma":[0.0001463452,0.00005391456,0.006849313,0.0001511459,0.00002540277,0.0004446277,0.0001207708,0.6559755,0.01825078,0.1987823,0.1190936,0.0001061957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03560136,0.0007698666,0.7422397,0.005505067,0.001408752,0.000101974,0.05246866,0.04702653,0.114878],"genre_scores_gemma":[0.5137675,0.001224422,0.2484986,0.001534093,0.0003577132,0.0002857841,0.08508579,0.03941811,0.109828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1339647,"threshold_uncertainty_score":0.4481565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07229597712683931,"score_gpt":0.2974550743301627,"score_spread":0.2251590972033234,"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."}}