{"id":"W6961017623","doi":"10.1371/journal.pone.0211136.t001","title":"Ottawa bowel preparation scale.","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":[0.001497877,0.001892506,0.002453728,0.003837655,0.0009807022,0.004301375,0.002994545,0.001654257,0.4318821],"category_scores_gemma":[0.01033498,0.0009280996,0.001181676,0.006721655,0.0005729041,0.002112137,0.003155518,0.0015888,0.4602374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334205,"about_ca_system_score_gemma":0.003180763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02649585,"about_ca_topic_score_gemma":0.07321379,"domain_scores_codex":[0.9989763,0.0001630222,0.0001063683,0.0004076178,0.0001728951,0.00017381],"domain_scores_gemma":[0.9963731,0.001083614,0.0002175527,0.001208202,0.0005180458,0.0005994777],"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":[0.00007963754,0.000005149071,0.0002370811,0.0006163986,0.00002328942,0.00001111206,0.00002214412,0.0001039431,0.00009449574,0.0006310462,0.9954506,0.002725092],"study_design_scores_gemma":[0.0001080832,0.000005689163,0.0007240379,0.0002015498,0.00002167146,0.000018461,0.00003142458,0.0000994055,0.0001918055,0.001780758,0.9967997,0.00001741203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004106849,0.00005918353,0.0001248824,0.00006081801,0.00002210582,0.000009199325,0.9961203,0.001501757,0.002060632],"genre_scores_gemma":[0.0005476704,0.0001365668,0.0007451883,0.000081275,0.000009948325,0.00009418926,0.9944358,0.001299061,0.002650315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9735041,"threshold_uncertainty_score":0.8103513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315671999715661,"score_gpt":0.2630866634504136,"score_spread":0.239929943453257,"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."}}