{"id":"W6901942015","doi":"10.6084/m9.figshare.1314947","title":"Estimated of spread of WNS","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biological dispersal; Estimation; Population; Ectotherm; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000283201,0.0002159016,0.000451918,0.0002520077,0.000003464213,0.000004070825,0.0003589802,0.000318366,0.8404157],"category_scores_gemma":[0.001122419,0.0002081448,0.00007072171,0.0002634948,0.00001183013,0.00002028579,0.0001229547,0.0001108309,0.1001422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003289699,"about_ca_system_score_gemma":0.0001946784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134648,"about_ca_topic_score_gemma":0.000114651,"domain_scores_codex":[0.9990632,0.00002816001,0.0002049404,0.0001932168,0.0003459585,0.0001645281],"domain_scores_gemma":[0.9985077,0.00001877237,0.0006146645,0.000550736,0.0002318974,0.00007625531],"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":[0.000005716273,0.00003764705,0.000004921912,0.001065788,0.00006324095,0.000006472671,0.00002534449,0.000003772676,0.0001234001,0.000001229644,0.9985923,0.00007015457],"study_design_scores_gemma":[0.0002467749,0.0000302107,0.00008265247,0.02082225,0.00002930278,0.000002257306,0.000002987256,0.00003424102,0.000983594,0.000006280776,0.9775717,0.0001877999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.298222e-7,0.001220901,8.909109e-9,4.608168e-7,0.0000129343,0.0001470037,0.5302244,0.0001451834,0.4682486],"genre_scores_gemma":[0.0002421023,5.180705e-7,0.000126324,0.00000299824,0.00007036817,0.00002798899,0.5998463,0.001031544,0.3986518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7402735,"threshold_uncertainty_score":0.9005584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413211777342396,"score_gpt":0.3453041580895658,"score_spread":0.2039829803553262,"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."}}