{"id":"W2544080536","doi":"10.6084/m9.figshare.4123326.v1","title":"BIO205 2016 Tut0105 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":[0.001061379,0.001180538,0.001085798,0.004566415,0.0006785241,0.002162851,0.001628464,0.000907845,0.320491],"category_scores_gemma":[0.0075068,0.0008172745,0.0007839159,0.009745041,0.0002653429,0.0009867187,0.001390498,0.001148525,0.1580736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636088,"about_ca_system_score_gemma":0.004094388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1088255,"about_ca_topic_score_gemma":0.1146384,"domain_scores_codex":[0.9993178,0.00009007339,0.0001183324,0.0001416613,0.0001899427,0.0001422882],"domain_scores_gemma":[0.9962501,0.0008523035,0.0004235469,0.0007077612,0.001384405,0.0003818907],"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":[0.00007118924,0.00001358537,0.001670375,0.0004269803,0.00002640753,0.00001870549,0.00003416822,0.0003123968,0.0001271951,0.0005206408,0.9939429,0.002835414],"study_design_scores_gemma":[0.0001801265,0.00001506533,0.01165127,0.0002594841,0.00002766864,0.00003519034,0.0001302468,0.000348629,0.0003694078,0.0007619857,0.9861859,0.00003494377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008141813,0.000006675219,0.00005143186,0.00002595043,0.0000127987,0.000006548819,0.9990698,0.0001267143,0.0006187225],"genre_scores_gemma":[0.0007937427,0.00003186253,0.0003169332,0.00003030484,0.00001277723,0.00007970347,0.9966729,0.0002285411,0.001833172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.679509,"threshold_uncertainty_score":0.9692371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07771907034413604,"score_gpt":0.2691933800344692,"score_spread":0.1914743096903332,"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."}}