{"id":"W4394055882","doi":"10.5281/zenodo.5655380","title":"Supplementary Tables","year":2021,"lang":"en","type":"supplementary-materials","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002780412,0.001822169,0.002111971,0.004402317,0.002721252,0.005835937,0.003140206,0.002851862,0.760004],"category_scores_gemma":[0.01841456,0.001095685,0.002088316,0.005556772,0.0006623839,0.002962448,0.00247084,0.002419309,0.4380786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231666,"about_ca_system_score_gemma":0.0053638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005704696,"about_ca_topic_score_gemma":0.0111957,"domain_scores_codex":[0.9974559,0.0003924566,0.0003127714,0.0007886413,0.0008073565,0.0002429201],"domain_scores_gemma":[0.9903991,0.00374488,0.0006715292,0.001432449,0.002998488,0.0007535409],"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":[0.0001738588,0.00003418355,0.0006685507,0.002289591,0.0000614728,0.0001469397,0.00005152223,0.0002781719,0.0004771892,0.002479434,0.9639235,0.02941558],"study_design_scores_gemma":[0.0001018082,0.00004375278,0.001441457,0.0007154578,0.00004934387,0.0002699895,0.00008195217,0.0002259947,0.0004228663,0.004242747,0.9923708,0.00003378678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009085502,0.00421163,0.007062906,0.002737123,0.005636961,0.0006139672,0.9209309,0.006003737,0.05189423],"genre_scores_gemma":[0.006225623,0.005139688,0.01085906,0.005920049,0.001505452,0.001659617,0.8776175,0.003860475,0.08721258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.760004,"threshold_uncertainty_score":0.3423251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876307228167634,"score_gpt":0.288333527042287,"score_spread":0.2495704547606107,"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."}}