{"id":"W2917384497","doi":"10.6084/m9.figshare.4123329.v1","title":"BIO205 2016 Tut0107 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; Medicine","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":[0.001086073,0.001197992,0.001119579,0.004705167,0.0007005512,0.002229073,0.001681997,0.000929312,0.324222],"category_scores_gemma":[0.007816041,0.0008288706,0.0007725779,0.01010928,0.0002762732,0.001004153,0.001410676,0.001185341,0.1734839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613351,"about_ca_system_score_gemma":0.004271937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1052782,"about_ca_topic_score_gemma":0.1146811,"domain_scores_codex":[0.9992896,0.00009274125,0.000123209,0.0001452383,0.0002031164,0.000146081],"domain_scores_gemma":[0.9959168,0.0009299812,0.0004497885,0.0007509494,0.00154376,0.0004087551],"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":[0.00006694519,0.00001309157,0.001510207,0.0004102157,0.00002452742,0.0000170824,0.00003223766,0.0002759069,0.0001253548,0.0004950268,0.994388,0.0026414],"study_design_scores_gemma":[0.0001761447,0.00001440716,0.01066928,0.0002599029,0.0000261852,0.00003278689,0.0001249584,0.0003303429,0.0003597836,0.0007564359,0.9872153,0.00003455122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007423313,0.000006451698,0.00004901385,0.00002595629,0.00001263763,0.000006531447,0.9990991,0.0001196619,0.0006063148],"genre_scores_gemma":[0.00070351,0.0000323456,0.0003031648,0.00002986331,0.00001274438,0.0000830655,0.9967691,0.0002293623,0.001836939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.675778,"threshold_uncertainty_score":0.9639152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08023710948635007,"score_gpt":0.2699845686635656,"score_spread":0.1897474591772156,"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."}}