{"id":"W6995291431","doi":"","title":"Textual Matrix","year":2017,"lang":"en","type":"article","venue":"Scholar Works  (Boise State University)","topic":"Paraoxonase enzyme and polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matrix (chemical analysis); Window (computing); Period (music); Quarter (Canadian coin); Visualization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001751174,0.0007695928,0.0005535529,0.0041834,0.001741609,0.002971133,0.0008940417,0.0008323388,0.4533187],"category_scores_gemma":[0.0231532,0.0002440033,0.0003217634,0.00389269,0.000563173,0.002371483,0.001868825,0.0009647452,0.1566148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426566,"about_ca_system_score_gemma":0.002320601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005209064,"about_ca_topic_score_gemma":0.006530266,"domain_scores_codex":[0.9980243,0.0005924062,0.000312855,0.0002453563,0.0006842303,0.0001407952],"domain_scores_gemma":[0.9857963,0.007360479,0.000556572,0.0008647306,0.004878481,0.0005435106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005479346,0.00007783611,0.0006819076,0.002075656,0.00001062541,0.0002654986,0.002880897,0.000227826,0.002039811,0.01140156,0.8579303,0.1218601],"study_design_scores_gemma":[0.00002158723,0.00002949154,0.0006427292,0.0002577281,0.000005748057,0.0001167503,0.001527262,0.0002984554,0.0005773098,0.001705789,0.9948026,0.00001450175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01074567,0.001114092,0.01970647,0.005909965,0.00374352,0.002794675,0.5885062,0.009340143,0.3581393],"genre_scores_gemma":[0.1200863,0.002409584,0.06387071,0.003313762,0.001583399,0.008307518,0.4064466,0.008179137,0.385803],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4533187,"threshold_uncertainty_score":0.7797745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009916484002905087,"score_gpt":0.2421004391437264,"score_spread":0.2321839551408213,"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."}}