{"id":"W6949416364","doi":"10.5281/zenodo.14981274","title":"Sclerocoelus costaricensis Kuwahara, Marshall & Paiero, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany and Geology in Latin America and Caribbean","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Natural mineral; Statistical analysis; Event data; Detection threshold; Fish <Actinopterygii>","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":[0.0001372851,0.001123135,0.0002948609,0.002320198,0.001495863,0.0006028064,0.0005529654,0.0006033847,0.009248776],"category_scores_gemma":[0.0004888617,0.0002719269,0.0001986697,0.00188578,0.0006799673,0.0009761354,0.0006015088,0.0005564929,0.005013585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007827787,"about_ca_system_score_gemma":0.0008419012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04361811,"about_ca_topic_score_gemma":0.09847591,"domain_scores_codex":[0.9998497,0.00001724203,0.0000214003,0.00004692085,0.00004325537,0.00002138684],"domain_scores_gemma":[0.9997243,0.00003473952,0.00009975156,0.00003015954,0.00007039723,0.00004053227],"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":[0.0004158549,0.0002125762,0.09348034,0.001732628,0.0002553826,0.004883355,0.003494287,0.001777226,0.02647817,0.003573354,0.03870568,0.8249911],"study_design_scores_gemma":[0.0001043201,0.0001773913,0.7403288,0.001052556,0.0002949331,0.01080616,0.002842748,0.001400065,0.002279163,0.0008603518,0.2397973,0.00005617174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4398658,0.02788463,0.01069184,0.0009797829,0.0009321973,0.002066601,0.01222764,0.001752467,0.5035991],"genre_scores_gemma":[0.9262943,0.0113496,0.01058883,0.0009316633,0.0003245385,0.0006440968,0.005783412,0.0001111079,0.04397238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04361811,"threshold_uncertainty_score":0.08672845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387948064420857,"score_gpt":0.2265173537432193,"score_spread":0.2026378730990107,"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."}}