{"id":"W2915842474","doi":"10.6084/m9.figshare.4210227.v1","title":"BIO205 2016 Tut0109 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; Medicine; Population","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":[],"category_scores_codex":[0.001029341,0.001137028,0.001065075,0.004581939,0.0006815991,0.002183193,0.001558667,0.0008920298,0.3131733],"category_scores_gemma":[0.007392583,0.0008178073,0.0007580962,0.009646386,0.0002594319,0.0009749313,0.001377277,0.001141635,0.1617628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522149,"about_ca_system_score_gemma":0.003961975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.100716,"about_ca_topic_score_gemma":0.1092906,"domain_scores_codex":[0.9993235,0.00008740409,0.0001194738,0.0001402688,0.0001893476,0.0001400471],"domain_scores_gemma":[0.9962521,0.0008594824,0.0004254568,0.0007200759,0.001361664,0.0003813014],"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":[0.00007087678,0.00001331631,0.001659799,0.0003875987,0.00002529437,0.00001966796,0.00003332011,0.0003118492,0.0001312295,0.0005231232,0.9941386,0.002685381],"study_design_scores_gemma":[0.0001756188,0.00001405828,0.01174393,0.0002429202,0.00002549011,0.00003591608,0.0001217774,0.0003644162,0.0003714634,0.0007735124,0.986095,0.00003597937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008379187,0.00000613327,0.00005114582,0.00002599554,0.00001319647,0.000006204751,0.9990535,0.0001290393,0.0006310049],"genre_scores_gemma":[0.0007943465,0.00002997215,0.0003203118,0.00003005444,0.00001315273,0.00007982351,0.9966062,0.0002427294,0.0018834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3131733,"threshold_uncertainty_score":0.979675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07358599479568724,"score_gpt":0.268277210935804,"score_spread":0.1946912161401168,"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."}}