{"id":"W2916633871","doi":"10.6084/m9.figshare.4123332.v1","title":"BIO205 2016 Tut0110 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":[0.001110375,0.001145631,0.00105737,0.004627383,0.0006776584,0.002109892,0.001589698,0.0008959233,0.3270911],"category_scores_gemma":[0.007884815,0.0008301858,0.000728689,0.01004157,0.0002663628,0.0009881497,0.001421023,0.001172658,0.1725878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016525,"about_ca_system_score_gemma":0.004190505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1037453,"about_ca_topic_score_gemma":0.116001,"domain_scores_codex":[0.9993002,0.00009265578,0.0001227302,0.0001440563,0.000199159,0.0001410959],"domain_scores_gemma":[0.9960027,0.0008840865,0.0004409048,0.0007391286,0.001518271,0.0004149702],"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":[0.00006404477,0.00001225937,0.001509971,0.0003929209,0.00002177584,0.00001601637,0.00003089976,0.0002457713,0.0001181082,0.0004845509,0.994273,0.002830473],"study_design_scores_gemma":[0.0001701296,0.00001365843,0.01101529,0.0002428295,0.00002404778,0.00003158405,0.0001217166,0.0003030174,0.0003296379,0.0007119647,0.9870042,0.00003190772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007480839,0.000006719566,0.00004818477,0.00002715625,0.00001224144,0.000006566518,0.9990852,0.0001134885,0.0006256292],"genre_scores_gemma":[0.0007069474,0.00003262281,0.0003089516,0.00003089685,0.00001239132,0.00008139608,0.9966326,0.0002067135,0.001987435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6729089,"threshold_uncertainty_score":0.9598229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07906348242537306,"score_gpt":0.2687819895795927,"score_spread":0.1897185071542196,"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."}}