{"id":"W2915156647","doi":"10.6084/m9.figshare.4123323.v1","title":"BIO205 2016 Tut0102 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; 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":[0.001140622,0.001244921,0.001151792,0.004767324,0.0007293997,0.002323999,0.001725836,0.0009782917,0.3299465],"category_scores_gemma":[0.008075804,0.000866916,0.0008035478,0.01000132,0.0002796598,0.001035487,0.001466949,0.001225516,0.1704213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621589,"about_ca_system_score_gemma":0.004100981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09839287,"about_ca_topic_score_gemma":0.1065833,"domain_scores_codex":[0.9992647,0.00009784148,0.0001243709,0.0001560571,0.000203933,0.0001531302],"domain_scores_gemma":[0.9958504,0.0009825578,0.0004468689,0.0007940576,0.001495699,0.0004304092],"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":[0.00006932922,0.0000134692,0.001563998,0.0003939927,0.00002496876,0.00001812638,0.00003300367,0.0002840246,0.0001319092,0.000469099,0.9944175,0.002580658],"study_design_scores_gemma":[0.0001901418,0.00001442871,0.01069507,0.0002432644,0.00002717386,0.00003532292,0.0001278031,0.0003690905,0.0003774084,0.0007594905,0.9871242,0.00003666133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007740207,0.000006113383,0.00005353371,0.00002653672,0.00001262991,0.000006517563,0.9991054,0.0001386276,0.0005732525],"genre_scores_gemma":[0.0007283367,0.00002902712,0.0003296064,0.00003045189,0.00001287925,0.00008410995,0.9967477,0.0002653915,0.001772438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6700535,"threshold_uncertainty_score":0.95575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07899301987525784,"score_gpt":0.2685413300249151,"score_spread":0.1895483101496573,"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."}}