{"id":"W6893798205","doi":"10.5281/zenodo.5272681","title":"Oreohelix subrudis","year":2020,"lang":"de","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Easement; Montane ecology","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":[0.0001092259,0.0003175984,0.0002092064,0.0008825256,0.0005231034,0.0002620147,0.0002976127,0.0002366844,0.007752147],"category_scores_gemma":[0.000141848,0.00009861545,0.0001787878,0.0003225798,0.0002808759,0.0003599112,0.0004589903,0.0002709517,0.002347288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003986506,"about_ca_system_score_gemma":0.0001780355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00676109,"about_ca_topic_score_gemma":0.01792068,"domain_scores_codex":[0.9999083,0.000007794049,0.000007800326,0.00002707945,0.00002453972,0.00002449595],"domain_scores_gemma":[0.999922,0.00001339268,0.00002589832,0.000006909864,0.00002255867,0.000009252401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009169769,0.0003156371,0.1237425,0.0007011603,0.00008143431,0.004490703,0.002540412,0.0008464361,0.1862037,0.005044432,0.007697043,0.6674196],"study_design_scores_gemma":[0.00006232223,0.0007382369,0.7998618,0.0002130525,0.0000852724,0.006018724,0.001386852,0.0005071975,0.01574646,0.00104896,0.1743025,0.00002865542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8190001,0.001854111,0.002128829,0.0001761237,0.00009122064,0.0001136927,0.001291292,0.0002191701,0.1751255],"genre_scores_gemma":[0.9659219,0.0007480373,0.002321489,0.0002381434,0.00003747888,0.00004665541,0.002219526,0.00002462425,0.02844206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007752147,"threshold_uncertainty_score":0.0259335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03400435846298002,"score_gpt":0.2228208297726478,"score_spread":0.1888164713096678,"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."}}