{"id":"W6950795689","doi":"10.5281/zenodo.5982724","title":"Phantasca montana Hennemann & Conle & Bellanger & Lelong & Jourdan 2018, comb. nov.","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sainte Foy","funders":"","keywords":"Sepia; Holotype; Dorsum; Shot (pellet); Line (geometry)","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":[0.0001784254,0.001071988,0.0003485125,0.001233832,0.001413831,0.0007804797,0.0006698661,0.0006086332,0.01871518],"category_scores_gemma":[0.0005377662,0.0003075266,0.0003992761,0.000671553,0.0007845815,0.002129454,0.001382023,0.001015448,0.00922465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008156904,"about_ca_system_score_gemma":0.001196401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167536,"about_ca_topic_score_gemma":0.0262844,"domain_scores_codex":[0.9997742,0.00002461687,0.00002197027,0.00007200271,0.00008502589,0.00002231091],"domain_scores_gemma":[0.9997968,0.00002392419,0.00004856327,0.00002516533,0.00007066123,0.00003497691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007175826,0.0003237077,0.027592,0.002046664,0.0002290316,0.008244817,0.002449737,0.001335975,0.08323339,0.01367882,0.08721534,0.772933],"study_design_scores_gemma":[0.0003038606,0.0004038943,0.165576,0.001069796,0.0002746105,0.01419404,0.001997538,0.0007885993,0.00228605,0.002948817,0.8100769,0.00007987949],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1758629,0.02261431,0.01357341,0.002927444,0.002233751,0.001504931,0.01108585,0.001736417,0.7684609],"genre_scores_gemma":[0.8381198,0.01420149,0.01509283,0.00280986,0.0005919844,0.0009281869,0.01493685,0.0002544098,0.1130647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01871518,"threshold_uncertainty_score":0.06260848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388576111720052,"score_gpt":0.2394817266555956,"score_spread":0.2155959655383951,"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."}}