{"id":"W4394174006","doi":"10.6084/m9.figshare.21375534.v2","title":"BIOL3250 -- BIOBLITZ (DATA &amp; METADATA FOR FIELD EXPERIMENT).xlsx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Field (mathematics); Computer science; World Wide Web; Mathematics","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":[0.002543776,0.002525795,0.002143126,0.003182679,0.001261956,0.002763235,0.004026735,0.002855842,0.4263455],"category_scores_gemma":[0.01080231,0.001200098,0.001654987,0.004472692,0.0007028637,0.002300884,0.002973456,0.002103986,0.3051169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175631,"about_ca_system_score_gemma":0.002097959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439172,"about_ca_topic_score_gemma":0.03047669,"domain_scores_codex":[0.9987094,0.0002452179,0.0001588739,0.0004061571,0.0002550955,0.0002252056],"domain_scores_gemma":[0.9936585,0.002657546,0.0004893514,0.001486711,0.001143842,0.0005641569],"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":[0.00006785498,0.00002618307,0.0006321904,0.0007204441,0.00002473562,0.00001024471,0.00002555469,0.0002035703,0.0001224941,0.0002889146,0.9964418,0.001435991],"study_design_scores_gemma":[0.001030974,0.0000503923,0.004956456,0.0004602311,0.00005433737,0.0000325088,0.0001016522,0.0005139383,0.0005473347,0.002230593,0.9899579,0.00006359234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005958267,0.00001289019,0.00009112858,0.00003721178,0.00002505864,0.00001459084,0.9987733,0.0005725243,0.0004137295],"genre_scores_gemma":[0.0005014002,0.00002594161,0.000864872,0.0001048173,0.00001287236,0.0003560514,0.9961559,0.0006191749,0.001359062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4263455,"threshold_uncertainty_score":0.8182486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2418211668103812,"score_gpt":0.3799860195009268,"score_spread":0.1381648526905457,"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."}}