{"id":"W2917940968","doi":"10.6084/m9.figshare.4123335.v1","title":"BIO205 2016 Tut0103 Census 1 Data.xlsx","year":2016,"lang":"en","type":"article","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; Population; Demography; Sociology","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":["insufficient_payload"],"category_scores_codex":[0.001101861,0.001199281,0.001114008,0.004612238,0.0007156272,0.002276421,0.001694594,0.0009451602,0.337477],"category_scores_gemma":[0.007810558,0.0008483628,0.0008030805,0.009958924,0.0002746288,0.001003178,0.001440526,0.001189489,0.1736658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667435,"about_ca_system_score_gemma":0.004226714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1062918,"about_ca_topic_score_gemma":0.1156364,"domain_scores_codex":[0.9992912,0.00009317366,0.0001221903,0.0001460784,0.0001983211,0.0001489223],"domain_scores_gemma":[0.9959844,0.0009393864,0.0004389519,0.0007627076,0.00145962,0.0004149137],"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":[0.00006786479,0.0000127711,0.001547446,0.0003822876,0.00002429508,0.00001747484,0.00003187856,0.0002791397,0.0001261486,0.0004719406,0.9944629,0.002575825],"study_design_scores_gemma":[0.0001915363,0.00001437319,0.01092951,0.0002434656,0.00002662551,0.0000345309,0.0001263625,0.0003635314,0.000371533,0.000783229,0.9868794,0.00003597699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000763828,0.000006112054,0.00005137855,0.00002601958,0.00001219961,0.000006543952,0.9990797,0.0001362105,0.0006055671],"genre_scores_gemma":[0.0007379577,0.0000300971,0.0003276624,0.00003091608,0.00001270586,0.00008471061,0.9966902,0.0002635914,0.001822156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.662523,"threshold_uncertainty_score":0.9450087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07753099322408354,"score_gpt":0.268774446242332,"score_spread":0.1912434530182485,"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."}}