{"id":"W6931585889","doi":"10.5281/zenodo.6313364","title":"Cybaeus viator Bennett & Copley & Copley 2022, spec. nov.","year":2022,"lang":"en","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":"ImmunoPrecise (Canada)","funders":"","keywords":"Holotype; Dorsum; Tibia; Patella; Seta; Keel","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":[0.000190799,0.001868441,0.0005711727,0.002458438,0.00297616,0.0007928533,0.0009291361,0.001295827,0.02777866],"category_scores_gemma":[0.001011042,0.0004379257,0.0002394454,0.001915059,0.0009389284,0.00228746,0.001406038,0.001498632,0.01471652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193514,"about_ca_system_score_gemma":0.00179604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05035485,"about_ca_topic_score_gemma":0.07630432,"domain_scores_codex":[0.9996521,0.00003166994,0.00002795161,0.0001227162,0.0001197742,0.00004567727],"domain_scores_gemma":[0.9997869,0.00003223486,0.00004700712,0.00002100062,0.00008371953,0.00002919894],"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":[0.0004417592,0.0001647732,0.01387999,0.001121172,0.00008230119,0.003314109,0.001680061,0.001897124,0.02244451,0.009453649,0.1401831,0.8053374],"study_design_scores_gemma":[0.0002058708,0.0002037743,0.1170338,0.0009142254,0.0001831795,0.009344305,0.001744485,0.0007673635,0.002561813,0.001763949,0.8652136,0.00006366811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.15532,0.03761615,0.01166965,0.002923081,0.005324242,0.002597001,0.01650068,0.001405739,0.7666434],"genre_scores_gemma":[0.6755716,0.02402064,0.02010317,0.004241569,0.0009726833,0.002645019,0.01856413,0.0003085378,0.2535726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05035485,"threshold_uncertainty_score":0.1001235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654722340673098,"score_gpt":0.2110479114102859,"score_spread":0.1945006880035549,"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."}}