{"id":"W7095774822","doi":"","title":"Familial Sinistrals Avoid Exact Numbers","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decimal; Quarter (Canadian coin); Cognition; Numerical cognition; Roundness (object)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104368,0.0003270045,0.0002469612,0.001187917,0.0006410546,0.0004922056,0.0002368456,0.0003695516,0.006411219],"category_scores_gemma":[0.01016044,0.0001740677,0.0001682185,0.0008622252,0.000584833,0.0006026315,0.0007746713,0.000316852,0.0009931457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182824,"about_ca_system_score_gemma":0.0001936119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00491821,"about_ca_topic_score_gemma":0.006013486,"domain_scores_codex":[0.9985613,0.0005972848,0.0001846551,0.0001898945,0.0003205364,0.0001463055],"domain_scores_gemma":[0.9900318,0.003364825,0.004493445,0.001114873,0.0006176337,0.0003774378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002496459,0.0001496608,0.9478737,0.0001041933,0.00003471503,0.0009790756,0.01719509,0.00009137786,0.001730056,0.0009775552,0.001843408,0.02877168],"study_design_scores_gemma":[0.00002251966,0.0002798043,0.9687994,0.00006844233,0.00003203077,0.004570868,0.01615361,0.0003816143,0.0008688671,0.001016073,0.007769764,0.00003697359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976973,0.00006986402,0.0001466026,0.00008209635,0.000004775086,0.000009332364,0.0001527406,0.000005752234,0.001831518],"genre_scores_gemma":[0.9983425,0.0001077096,0.0002685025,0.00007115574,0.000007180302,0.00002442664,0.0002172543,0.000003675497,0.0009576128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006411219,"threshold_uncertainty_score":0.02144766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006103815080787984,"score_gpt":0.3007781544666226,"score_spread":0.2946743393858346,"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."}}