{"id":"W3194241875","doi":"","title":"I before U: Temporal order judgements reveal visual prior entry for self-owned objects","year":2015,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Order (exchange); Cognitive psychology; Psychology; Business; Computer science","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":[0.0003638947,0.0001510627,0.0003046496,0.0004538443,0.0003903545,0.001768037,0.0003516261,0.0006972104,0.007881001],"category_scores_gemma":[0.008853784,0.0003070394,0.0001773749,0.0004680701,0.0004396751,0.001695373,0.0008082627,0.0008068344,0.0009949242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121077,"about_ca_system_score_gemma":0.0003717034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153873,"about_ca_topic_score_gemma":0.003369383,"domain_scores_codex":[0.9997739,0.00001807749,0.00001296378,0.00006995766,0.00007180821,0.00005321123],"domain_scores_gemma":[0.9968582,0.001509174,0.000550777,0.0004892494,0.0002080261,0.0003844267],"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":[0.004127548,0.0001469851,0.03673921,0.0002323757,0.00003879442,0.0004355329,0.002210006,0.000784117,0.8862865,0.007664207,0.001894207,0.05944042],"study_design_scores_gemma":[0.00006022813,0.000628285,0.8721831,0.0001022018,0.00006414419,0.001443519,0.001812156,0.01813172,0.08472054,0.01606251,0.004662812,0.0001287623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981787,0.0001379388,0.004721319,0.00008317367,0.00007422105,0.0000175006,0.0003661597,0.0001136977,0.01269903],"genre_scores_gemma":[0.9946728,0.0000723775,0.00294342,0.00006121867,0.00001752329,0.00001067636,0.0002481199,0.0001260804,0.001847696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007881001,"threshold_uncertainty_score":0.02636462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05061199522179641,"score_gpt":0.3345011281542893,"score_spread":0.283889132932493,"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."}}