{"id":"W2915202572","doi":"10.6084/m9.figshare.4213197.v3","title":"BIO205 2016 Tut0104 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":[0.001112979,0.00120117,0.001108633,0.00472172,0.0007177185,0.002280874,0.00172373,0.0009478597,0.3354039],"category_scores_gemma":[0.008123917,0.0008533079,0.00079613,0.0101226,0.0002799549,0.001010174,0.001453262,0.001197129,0.1737375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650012,"about_ca_system_score_gemma":0.004205486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.103906,"about_ca_topic_score_gemma":0.111285,"domain_scores_codex":[0.9992817,0.00009677612,0.0001228891,0.0001483259,0.0001997095,0.0001506305],"domain_scores_gemma":[0.9958549,0.0009546325,0.0004525943,0.0007914929,0.001528097,0.0004183289],"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":[0.00006889176,0.00001302838,0.001559665,0.0003884988,0.0000245943,0.00001741767,0.00003287104,0.000282117,0.0001247595,0.0004803331,0.9943129,0.002695006],"study_design_scores_gemma":[0.0001829223,0.00001412239,0.01055582,0.0002409771,0.00002609999,0.0000329194,0.0001259464,0.0003448181,0.000358599,0.0007563091,0.9873267,0.00003474274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007969198,0.000006310461,0.00005353787,0.00002757705,0.00001326952,0.000006767057,0.9990554,0.0001348066,0.0006225526],"genre_scores_gemma":[0.0007620338,0.00003128521,0.0003367764,0.00003117388,0.00001344648,0.00008924865,0.9964929,0.0002626072,0.001980451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6645961,"threshold_uncertainty_score":0.9479657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0774217791204112,"score_gpt":0.2688836637289683,"score_spread":0.1914618846085571,"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."}}