{"id":"W4394327215","doi":"10.6084/m9.figshare.4233878","title":"BIO205 2016 Tut0109 Census 3 Data.xlsx","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Medicine; Population; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.001247901,0.001657768,0.001358292,0.003651899,0.0007115229,0.002573474,0.002292047,0.001387828,0.1529485],"category_scores_gemma":[0.007322214,0.0009179076,0.001075429,0.007179461,0.0004164155,0.001125829,0.001791295,0.001562794,0.1302072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546135,"about_ca_system_score_gemma":0.003558879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04888163,"about_ca_topic_score_gemma":0.06492208,"domain_scores_codex":[0.9992349,0.0001128153,0.0001276206,0.000220254,0.0001667685,0.0001376475],"domain_scores_gemma":[0.9970869,0.000784883,0.000356371,0.0006633765,0.0007394362,0.0003690324],"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":[0.00005662489,0.00001147928,0.001064424,0.0005021144,0.00002968977,0.00001466508,0.00002020718,0.0002645728,0.00009305005,0.0003961212,0.9963621,0.001184936],"study_design_scores_gemma":[0.0002908016,0.00001301906,0.005861782,0.0002502576,0.00003072656,0.00003693244,0.00007881536,0.0002903258,0.0002653816,0.001070691,0.9917807,0.00003056509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004148622,0.00001044506,0.0000263864,0.00002347367,0.000008568942,0.000003460637,0.9995736,0.0001154225,0.0001972325],"genre_scores_gemma":[0.0003330576,0.00003028788,0.0001466919,0.00003006398,0.000008007675,0.00005134082,0.9987489,0.0001095994,0.0005419714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1529485,"threshold_uncertainty_score":0.5116638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06653428409076033,"score_gpt":0.2856601626275762,"score_spread":0.2191258785368158,"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."}}