{"id":"W2995722603","doi":"","title":"Ingredients for Life","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting 2019","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"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":[0.002439159,0.001177158,0.0008451826,0.001336677,0.003399288,0.008685201,0.001154148,0.003315228,0.2859561],"category_scores_gemma":[0.005107494,0.0003260451,0.0007137114,0.0009548377,0.002323714,0.006430201,0.006752587,0.006427825,0.1952789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439607,"about_ca_system_score_gemma":0.002566758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001990006,"about_ca_topic_score_gemma":0.003950629,"domain_scores_codex":[0.9985637,0.0003960582,0.00007026133,0.0002162629,0.0005387912,0.0002149421],"domain_scores_gemma":[0.9981311,0.0001687363,0.00008585024,0.0003165487,0.0006511704,0.0006465524],"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":[0.00009980157,0.000125967,0.0003574744,0.0002890141,0.00002015925,0.0001042215,0.0008030919,0.00003949429,0.001115296,0.09394117,0.7335645,0.1695398],"study_design_scores_gemma":[0.000002159383,0.00000896985,0.00007746737,0.00006408657,0.000001767352,0.00001776938,0.0001228357,0.000002938506,0.00003752921,0.002864547,0.9967976,0.00000229951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002205904,0.02292926,0.003871507,0.1665597,0.03945589,0.000183484,0.001349183,0.0009361536,0.762509],"genre_scores_gemma":[0.01699474,0.01391853,0.00696886,0.04620748,0.0046438,0.0002099258,0.001506236,0.0006923311,0.9088579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2859561,"threshold_uncertainty_score":0.9566186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008350811569907605,"score_gpt":0.2413707780483821,"score_spread":0.2330199664784745,"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."}}