{"id":"W6930352871","doi":"10.5281/zenodo.14597099","title":"Cnecomymar bimaculatus Ogloblin 1963","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Distribution (mathematics); Gryllus bimaculatus; Range (aeronautics); Agrégation","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":[0.0002267865,0.0006170051,0.000594453,0.002314901,0.001769871,0.0004371329,0.0008324026,0.0004836883,0.01907398],"category_scores_gemma":[0.0005370895,0.0003142006,0.0001496465,0.001498713,0.000858442,0.0009502952,0.001317212,0.0005640357,0.005753522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001593,"about_ca_system_score_gemma":0.0007925788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06528245,"about_ca_topic_score_gemma":0.1084579,"domain_scores_codex":[0.9996777,0.00002196649,0.00002087061,0.0001232994,0.0001069819,0.00004918331],"domain_scores_gemma":[0.9997419,0.00002157164,0.0001166166,0.00002350074,0.00006459306,0.00003184424],"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":[0.0007880599,0.0001552205,0.04594458,0.0008461409,0.00006937689,0.001606146,0.001790162,0.0007766691,0.01949846,0.01036642,0.08884834,0.8293104],"study_design_scores_gemma":[0.00008382266,0.00008472279,0.3090725,0.0008061336,0.00009944908,0.002774723,0.001127218,0.000479116,0.00245733,0.001575081,0.6814047,0.00003515638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2073989,0.02241511,0.007164116,0.0009903198,0.001236635,0.00076606,0.01164275,0.001181772,0.7472044],"genre_scores_gemma":[0.8547524,0.01081178,0.01257941,0.001404041,0.0003768604,0.0004664384,0.009281585,0.0002568088,0.1100705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06528245,"threshold_uncertainty_score":0.129805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689772485246512,"score_gpt":0.2430296878690857,"score_spread":0.2261319630166206,"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."}}