{"id":"W1970024857","doi":"10.3758/s13414-014-0702-7","title":"Slope estimation and viewing distance of the observer","year":2014,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Observer (physics); Estimation; Geodesy; Computer vision; Computer science; Artificial intelligence; Geology; Mathematics; Economics; Physics","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":[0.0004826208,0.0003997762,0.0004058505,0.0007402534,0.0002383778,0.001125093,0.00028569,0.0006171818,0.005518509],"category_scores_gemma":[0.008160346,0.0002398391,0.0004003553,0.0003996746,0.0001626683,0.0008278401,0.0006490564,0.0005270331,0.0009863361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304604,"about_ca_system_score_gemma":0.0003286037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006319189,"about_ca_topic_score_gemma":0.007457176,"domain_scores_codex":[0.9995512,0.0001120025,0.00003306471,0.000165029,0.00007619675,0.0000625879],"domain_scores_gemma":[0.9976605,0.001166407,0.0002425463,0.0002032451,0.000554024,0.0001733559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01000492,0.0003687203,0.4179693,0.000476407,0.000643194,0.0006314872,0.002515772,0.006099569,0.4271779,0.001291815,0.002125768,0.1306951],"study_design_scores_gemma":[0.00007881098,0.0009406321,0.9542335,0.00007255396,0.0002905576,0.0009927814,0.0007048204,0.02039846,0.02000486,0.0007096134,0.001508114,0.00006531877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764969,0.0005586841,0.01403628,0.00008280136,0.00007697882,0.00005009069,0.0005480935,0.0002971759,0.007853116],"genre_scores_gemma":[0.994167,0.0001653053,0.003907228,0.0000303189,0.00001693445,0.00001476753,0.0003154632,0.0001195647,0.001263432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006319189,"threshold_uncertainty_score":0.01846123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011222715173578,"score_gpt":0.2643106164043124,"score_spread":0.2530879012307344,"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."}}