{"id":"W2915119683","doi":"10.6084/m9.figshare.4138620.v2","title":"BIO205 2016 Tut0103 Census 2 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":[0.001063594,0.00116691,0.00109274,0.004438864,0.0006973094,0.002295696,0.001617654,0.0009469142,0.3292902],"category_scores_gemma":[0.007672196,0.0008436317,0.0008072309,0.009526494,0.0002690581,0.0009958028,0.00142158,0.0011719,0.1671923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158927,"about_ca_system_score_gemma":0.004066059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1018623,"about_ca_topic_score_gemma":0.1113756,"domain_scores_codex":[0.9993069,0.0000924555,0.0001200202,0.0001428264,0.0001896109,0.0001480357],"domain_scores_gemma":[0.9961063,0.0009148864,0.0004229161,0.000769987,0.001385004,0.0004007327],"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":[0.0000678637,0.00001255349,0.001605282,0.0003603216,0.00002482857,0.00001867669,0.00003248587,0.0003078205,0.0001276715,0.0004873608,0.9944831,0.00247197],"study_design_scores_gemma":[0.0001926187,0.0000138583,0.01140528,0.0002316814,0.00002665369,0.00003629474,0.0001269909,0.0004112264,0.0003869593,0.0008145561,0.986316,0.00003778013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008557909,0.000006033476,0.00005591408,0.00002750543,0.00001329088,0.000006466367,0.9990157,0.0001521728,0.0006372506],"genre_scores_gemma":[0.0008364671,0.00002843349,0.0003457879,0.00003268124,0.0000134275,0.00008595938,0.9964991,0.0002923955,0.001865793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6707097,"threshold_uncertainty_score":0.9566861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07388237126201073,"score_gpt":0.2679782396420755,"score_spread":0.1940958683800647,"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."}}