{"id":"W6892425474","doi":"10.5281/zenodo.10516972","title":"Quesada gigas","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera: Cerambycidae studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); West coast; Old World; Life history","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":[],"consensus_categories":[],"category_scores_codex":[0.0001399497,0.0009753141,0.0004636249,0.001556432,0.002019696,0.0009418933,0.0006343098,0.0004114041,0.02438817],"category_scores_gemma":[0.0005751207,0.0001696592,0.0002690381,0.001410113,0.0004942771,0.001147848,0.001450584,0.0007746687,0.005261124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008726851,"about_ca_system_score_gemma":0.0005693302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03111864,"about_ca_topic_score_gemma":0.05008003,"domain_scores_codex":[0.9998013,0.00001632321,0.00001653705,0.00008523466,0.00005166313,0.00002889925],"domain_scores_gemma":[0.9997795,0.00002149924,0.00006976257,0.00001714376,0.00007496117,0.00003714813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003000155,0.00008090872,0.03645594,0.001072778,0.0000770527,0.002548172,0.002524469,0.0005525091,0.009867794,0.01215162,0.1652878,0.7690809],"study_design_scores_gemma":[0.00002279626,0.00004307493,0.07978611,0.0003155064,0.00003979785,0.00124358,0.00127122,0.0001222386,0.0004131199,0.001858672,0.9148546,0.00002920452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1190838,0.02653404,0.004227311,0.002069993,0.002865293,0.0004257016,0.0133534,0.001768203,0.8296723],"genre_scores_gemma":[0.7645413,0.01261933,0.01079673,0.003994017,0.001215646,0.0004750928,0.01587902,0.000347155,0.1901317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03111864,"threshold_uncertainty_score":0.08158654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233169925478312,"score_gpt":0.2295351376588316,"score_spread":0.1972034384040485,"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."}}