{"id":"W4394186293","doi":"10.6084/m9.figshare.13010012","title":"meta data analsysis .docx","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural language processing; Computer science; Artificial intelligence; Programming language; Information retrieval","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":[0.002684089,0.002234419,0.001629215,0.005323303,0.001019218,0.003961467,0.002980231,0.001930331,0.3999184],"category_scores_gemma":[0.01536964,0.001159516,0.001724643,0.00619599,0.0006358784,0.002447688,0.003216215,0.002161185,0.1578743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712346,"about_ca_system_score_gemma":0.00363378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170066,"about_ca_topic_score_gemma":0.03482233,"domain_scores_codex":[0.9984724,0.0002607893,0.0002956026,0.0004716154,0.0002411355,0.0002584493],"domain_scores_gemma":[0.9935278,0.003312348,0.0005600627,0.001187584,0.0009651404,0.0004470303],"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":[0.00007085127,0.00001999184,0.001030933,0.002464869,0.00008269192,0.00003112182,0.00007249432,0.0003489544,0.0002013207,0.0008816822,0.9924585,0.002336572],"study_design_scores_gemma":[0.0003919746,0.00002274324,0.003787966,0.0007103157,0.00006313309,0.00003850914,0.0001507694,0.0004328499,0.0004575553,0.002640756,0.9912464,0.00005698266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003449007,0.000007985689,0.00006426997,0.00003731027,0.00001400665,0.00001440725,0.9992024,0.0003299363,0.0002951323],"genre_scores_gemma":[0.0008120738,0.00005007146,0.001461695,0.0001403832,0.00001737551,0.000608154,0.9950715,0.000662747,0.001176106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6000816,"threshold_uncertainty_score":0.8559436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2792532584092133,"score_gpt":0.3175290247795517,"score_spread":0.03827576637033842,"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."}}