{"id":"W4383065321","doi":"10.21203/rs.3.rs-3093835/v1","title":"The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solving","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fixation (population genetics); Psychophysics; Task (project management); Visual search; Computer science; Cognitive psychology; Cognition; Artificial intelligence; Eye movement; Psychology; Visual perception; Human visual system model; Computer vision; Perception; Neuroscience","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":[0.0004507006,0.0002481449,0.0002349682,0.000315516,0.0001220238,0.0006572999,0.0002126492,0.0003687629,0.002885056],"category_scores_gemma":[0.008303405,0.0001838172,0.0001652812,0.0002860861,0.0003604252,0.0003534457,0.0003670779,0.0003862517,0.0002701954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844193,"about_ca_system_score_gemma":0.0001341752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553964,"about_ca_topic_score_gemma":0.0009367802,"domain_scores_codex":[0.9996854,0.00009694901,0.00002356948,0.00008386958,0.00008700006,0.00002324662],"domain_scores_gemma":[0.9976988,0.001541166,0.0003149572,0.0002047687,0.0001395009,0.0001007417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002985321,0.00150076,0.2483127,0.001024316,0.0007019904,0.0006397684,0.008628068,0.06896643,0.4077857,0.006663788,0.006727797,0.2460633],"study_design_scores_gemma":[0.00007520217,0.0005934258,0.8652055,0.00004106631,0.00003390972,0.0004800995,0.0006336914,0.114149,0.007999796,0.008793556,0.001922245,0.00007256939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991147,0.0001727752,0.005648922,0.00009659973,0.00001266662,0.000053318,0.0004704958,0.00007791591,0.002320357],"genre_scores_gemma":[0.9977848,0.00005845519,0.001545849,0.00003724099,0.00000484401,0.00003098944,0.0002131853,0.00001647223,0.0003081234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002885056,"threshold_uncertainty_score":0.009651423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2216554879966262,"score_gpt":0.4745711300559544,"score_spread":0.2529156420593281,"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."}}