{"id":"W2917091266","doi":"10.6084/m9.figshare.4233878.v1","title":"BIO205 2016 Tut0109 Census 3 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; Demography; Population; 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":[0.001036207,0.001111483,0.001052688,0.004461436,0.0006903803,0.002195562,0.001623483,0.0008869421,0.3286685],"category_scores_gemma":[0.007300338,0.0008268956,0.0007677331,0.009349925,0.0002672292,0.0009804346,0.001413333,0.001135656,0.1706531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552167,"about_ca_system_score_gemma":0.003974327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1008004,"about_ca_topic_score_gemma":0.1080569,"domain_scores_codex":[0.9993142,0.00008696585,0.0001228272,0.0001400001,0.0001940912,0.0001419262],"domain_scores_gemma":[0.9961868,0.0008802419,0.0004311954,0.0007420875,0.00137685,0.0003828641],"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":[0.00007330418,0.0000132944,0.001628244,0.0003872259,0.00002487154,0.00001925934,0.00003425853,0.0002965531,0.0001316105,0.0005162696,0.9941267,0.002748507],"study_design_scores_gemma":[0.0001698458,0.00001349253,0.01096117,0.0002316737,0.00002390712,0.00003411388,0.0001190748,0.0003383104,0.0003812873,0.0007532553,0.9869392,0.00003464752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008017393,0.000005879828,0.00005169506,0.00002533755,0.00001244752,0.000006421892,0.9990244,0.0001390243,0.0006546577],"genre_scores_gemma":[0.0008006938,0.00003067471,0.0003345385,0.00003067471,0.00001283727,0.00008413463,0.9963947,0.0002670253,0.002044821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6713315,"threshold_uncertainty_score":0.9575729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07529600360674625,"score_gpt":0.268514184729833,"score_spread":0.1932181811230867,"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."}}