{"id":"W6893207353","doi":"10.5281/zenodo.14597154","title":"Erdosiella mirum","year":2024,"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":"Natural Resources Canada","funders":"","keywords":"Holotype; Locality; Measure (data warehouse); Natural (archaeology)","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":[0.0001081366,0.0007146567,0.0002459042,0.0007458897,0.0007436653,0.0003506231,0.0003670987,0.0003727843,0.009982929],"category_scores_gemma":[0.0004030992,0.000177244,0.0001601597,0.0003519407,0.0002595376,0.0008804774,0.0009713716,0.000391967,0.004582183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000625657,"about_ca_system_score_gemma":0.0002819824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005681375,"about_ca_topic_score_gemma":0.01062131,"domain_scores_codex":[0.9998612,0.00001708526,0.00001402889,0.00004830845,0.00003096007,0.0000283147],"domain_scores_gemma":[0.9998559,0.00001528013,0.00004560818,0.00001184568,0.00005466977,0.00001657207],"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":[0.0009520399,0.000200318,0.0379554,0.001707743,0.00004762938,0.003495809,0.001968955,0.0005463019,0.274191,0.007231792,0.03230207,0.6394008],"study_design_scores_gemma":[0.00008864322,0.0005186314,0.1926314,0.0006717301,0.00007951802,0.003880258,0.0018389,0.0006016069,0.01311149,0.001165455,0.785379,0.00003333174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4876463,0.01965195,0.007121588,0.001609203,0.001104409,0.000408218,0.004228339,0.0006079873,0.4776221],"genre_scores_gemma":[0.9125069,0.005902494,0.005725216,0.0008996976,0.0001379409,0.0002105613,0.002474177,0.00004407598,0.0720989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009982929,"threshold_uncertainty_score":0.03339618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054945528987028,"score_gpt":0.2340986000523352,"score_spread":0.2035491447624649,"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."}}