{"id":"W2242787806","doi":"10.5281/zenodo.29820","title":"mmod v1.3.1","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002018138,0.00007353289,0.00005471568,0.00003984952,0.0005131859,0.0001202934,0.0003741635,0.00005437543,0.0001956466],"category_scores_gemma":[0.0001969512,0.00007629875,0.00002760379,0.0001451572,0.00008469263,0.000006324828,0.0005310227,0.00007656459,0.001051557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002809783,"about_ca_system_score_gemma":0.000003007195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003000691,"about_ca_topic_score_gemma":1.178297e-7,"domain_scores_codex":[0.999311,0.00005969419,0.00009970055,0.0002460884,0.0001162787,0.0001672221],"domain_scores_gemma":[0.9991509,0.000001685647,0.00004119377,0.0003622009,0.000318376,0.0001256993],"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":[0.00006361013,0.0001163481,0.000002918132,0.000009526711,0.00002172918,0.000003335482,0.0001237452,0.00006768947,0.3167767,0.006464177,0.6007814,0.07556886],"study_design_scores_gemma":[0.0001925802,0.0001726854,0.00003553525,0.000003786046,0.000003397713,0.00006188752,0.00006654111,0.00006147817,0.0268817,0.0005538773,0.9718696,0.00009695621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2318175,0.0004828485,0.2789337,0.004358437,0.0002211036,0.001337819,0.0004438318,0.002147655,0.4802572],"genre_scores_gemma":[0.9908692,0.00005272898,0.004952098,0.0002656539,0.0002035736,4.331866e-8,0.001949954,0.0005828912,0.001123849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7590517,"threshold_uncertainty_score":0.9997262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298172864560709,"score_gpt":0.2792754473362898,"score_spread":0.2362937186906827,"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."}}