{"id":"W6967429849","doi":"10.5281/zenodo.11286861","title":"Copelatus panguana Hajek, Hendrich & Balke 2024, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Holotype; Paratype; Dorsum; Margin (machine learning); Anterior surface; Fibrous joint","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468575,0.001056453,0.0004289806,0.002171234,0.001265462,0.0005825673,0.0006372702,0.0008098932,0.01555157],"category_scores_gemma":[0.0007354582,0.0004473809,0.0002447214,0.001715873,0.0009634648,0.001378206,0.0009331813,0.001032269,0.00706707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093894,"about_ca_system_score_gemma":0.0007180288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02574913,"about_ca_topic_score_gemma":0.03998208,"domain_scores_codex":[0.9998147,0.00001471366,0.00002235803,0.00006984118,0.00005339743,0.00002496156],"domain_scores_gemma":[0.999757,0.00003820167,0.00009372778,0.00002964817,0.00005264671,0.00002876664],"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":[0.0007888229,0.0001384353,0.04962564,0.002356915,0.0002270169,0.004768844,0.002972758,0.001485745,0.02270421,0.00277957,0.05730255,0.8548495],"study_design_scores_gemma":[0.0001807797,0.000291887,0.5114354,0.002407322,0.0004982681,0.01737047,0.003512403,0.001214518,0.00468575,0.001590831,0.4566996,0.0001126298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3245496,0.0384555,0.01253516,0.002500652,0.003344592,0.002745265,0.02090321,0.002578237,0.5923877],"genre_scores_gemma":[0.8806509,0.01879887,0.02584712,0.002702766,0.0006736734,0.001900123,0.01364389,0.0003662943,0.05541626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02574913,"threshold_uncertainty_score":0.0520252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458640605748843,"score_gpt":0.2508943806802898,"score_spread":0.2050303201054055,"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."}}