{"id":"W4394517193","doi":"10.6084/m9.figshare.20341023","title":"EdU Optimization - Media Tests #1","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","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":[0.001762635,0.004019998,0.001978675,0.002765249,0.001092101,0.002680885,0.003302143,0.002835482,0.1230708],"category_scores_gemma":[0.009610931,0.0009219442,0.002206995,0.002963616,0.000530348,0.001619042,0.00188745,0.001829801,0.08966678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128321,"about_ca_system_score_gemma":0.002397012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007472856,"about_ca_topic_score_gemma":0.02068893,"domain_scores_codex":[0.9985998,0.0002590321,0.0001327254,0.0005800868,0.0002598394,0.0001684585],"domain_scores_gemma":[0.9972432,0.001422585,0.0001986829,0.0005212647,0.0004166267,0.0001976476],"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":[0.0003739145,0.00007979723,0.003705747,0.003259579,0.0001861488,0.00006350908,0.00003913025,0.001743026,0.0007120414,0.0009756023,0.9792247,0.00963674],"study_design_scores_gemma":[0.001134282,0.0001326475,0.005271082,0.0006689645,0.0002267025,0.0001212968,0.00007852066,0.002779096,0.002658142,0.004048672,0.9828095,0.00007111578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005344876,0.0002063627,0.0003070165,0.000107232,0.00005760225,0.00004442772,0.9945321,0.002831302,0.001379413],"genre_scores_gemma":[0.00150683,0.0001583573,0.001863369,0.0001825887,0.00001629635,0.0002999415,0.9937931,0.000728373,0.001451102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8769292,"threshold_uncertainty_score":0.4117129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154621807024847,"score_gpt":0.2765115307865239,"score_spread":0.2549653127162754,"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."}}