{"id":"W2026427809","doi":"10.3758/s13428-012-0241-x","title":"Bayesian combination of two-dimensional location estimates","year":2012,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimension (graph theory); Variable (mathematics); Task (project management); Bayesian probability; Computer science; Motion (physics); Artificial intelligence; Value (mathematics); Mathematics; Pattern recognition (psychology); Statistics; Algorithm","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":[0.007280895,0.00146305,0.002606343,0.003247797,0.000757464,0.002977643,0.002612624,0.002229827,0.00432689],"category_scores_gemma":[0.03135723,0.001709597,0.001895869,0.002758694,0.0008787602,0.004204984,0.003347624,0.002237683,0.002019745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009984429,"about_ca_system_score_gemma":0.001610886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004787955,"about_ca_topic_score_gemma":0.008889532,"domain_scores_codex":[0.9952554,0.001780055,0.00038134,0.00113168,0.001159545,0.0002920145],"domain_scores_gemma":[0.9876071,0.007732872,0.0007832834,0.001662533,0.001859989,0.0003541613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002004474,0.0004779622,0.01623723,0.0006146815,0.001151426,0.0002298011,0.0003753984,0.2437248,0.01239306,0.03602814,0.007063635,0.6796995],"study_design_scores_gemma":[0.00006555886,0.0001059911,0.006995079,0.0000771387,0.0001726628,0.0001866165,0.00004165006,0.9473468,0.002638569,0.04036081,0.001911704,0.00009740464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01857355,0.000590201,0.9783154,0.0002850495,0.00006704754,0.00004872062,0.0003124985,0.0003980003,0.001409557],"genre_scores_gemma":[0.5075459,0.001159492,0.48155,0.000280192,0.0003383721,0.0003091389,0.002156288,0.0002500121,0.006410613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007280895,"threshold_uncertainty_score":0.03850555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4419167445883856,"score_gpt":0.6149044304039545,"score_spread":0.1729876858155688,"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."}}