{"id":"W6967558558","doi":"10.5281/zenodo.10239413","title":"Dohrniphora cornuta","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Bay; Old World; Dorsum; Taxonomy (biology); Chiang mai","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":[0.0001456497,0.0005528273,0.0002663303,0.001707774,0.001371867,0.000414926,0.0005448594,0.0003149795,0.01150594],"category_scores_gemma":[0.0002182165,0.0002192304,0.0001149678,0.0009659781,0.0006421373,0.0006928123,0.0008993804,0.0003981368,0.001985244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672657,"about_ca_system_score_gemma":0.0002810736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456942,"about_ca_topic_score_gemma":0.03318906,"domain_scores_codex":[0.9998465,0.00002002693,0.00000969693,0.00005628229,0.00004078999,0.00002679761],"domain_scores_gemma":[0.9999157,0.00001844897,0.0000246173,0.000008074232,0.00002192519,0.00001115518],"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":[0.0004982808,0.0002227605,0.04837462,0.00117623,0.0000453946,0.003196484,0.002270617,0.0007053826,0.03461406,0.009468035,0.02698559,0.8724426],"study_design_scores_gemma":[0.0001439058,0.0002528596,0.4327611,0.000460406,0.00007895451,0.007188087,0.002578353,0.0007789521,0.006944207,0.002693498,0.5460613,0.00005830252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5094604,0.01516519,0.003155531,0.000721165,0.0005856634,0.0006090587,0.004366369,0.0004266035,0.4655101],"genre_scores_gemma":[0.9694756,0.002037572,0.002650776,0.0005615125,0.0001025761,0.00009690483,0.001390623,0.0000215954,0.02366276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01456942,"threshold_uncertainty_score":0.03849119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481362262768087,"score_gpt":0.223397006019594,"score_spread":0.1985833833919131,"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."}}