{"id":"W3054773030","doi":"10.1371/journal.pone.0236732","title":"Determining mean and standard deviation of the strong gravity prior through simulations","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"European Regional Development Fund; Agencia Estatal de Investigación; Canadian Space Agency; Generalitat de Catalunya","keywords":"Standard deviation; Gravity of Earth; Range (aeronautics); Geodesy; Percept; Prior probability; Sensory system; Bayesian probability; Gravitation; Physics; Statistics; Perception; Mathematics; Geology; Psychology; Gravitational field; Cognitive psychology; Classical mechanics","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":[0.001388081,0.0005316703,0.0005587515,0.0008393616,0.000417027,0.001032475,0.0007935151,0.001346742,0.001189985],"category_scores_gemma":[0.01173168,0.0003825848,0.0008194283,0.0005973004,0.000875554,0.001074501,0.0006578082,0.001227716,0.0001495064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198754,"about_ca_system_score_gemma":0.001011212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054637,"about_ca_topic_score_gemma":0.01842729,"domain_scores_codex":[0.9996952,0.00009926628,0.00001981724,0.00007383277,0.00004515055,0.00006683575],"domain_scores_gemma":[0.9933964,0.005428487,0.0003467455,0.0002700243,0.0003503202,0.0002079994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001163194,0.00005210041,0.004872992,0.00005224087,0.00003181383,0.00004037928,0.0001046938,0.9869467,0.001234962,0.003672463,0.0003553306,0.002519973],"study_design_scores_gemma":[0.00001822617,0.0000248553,0.00159281,0.00001343386,0.00001070023,0.00000859739,0.00002672886,0.9947925,0.0004843205,0.002872064,0.0001416491,0.00001406316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582762,0.0002125305,0.03702256,0.0003839481,0.00003463814,0.00003920699,0.000402989,0.0001437199,0.003484128],"genre_scores_gemma":[0.9919541,0.00006515675,0.007383424,0.00003535407,0.000005581862,0.00004823299,0.0001877272,0.00004002776,0.000280385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02054637,"threshold_uncertainty_score":0.04085356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158732194580283,"score_gpt":0.2696094958950301,"score_spread":0.1537362764370018,"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."}}