{"id":"W6931264976","doi":"10.5281/zenodo.3791074","title":"Gyrophaena (Gyrophaena) chippewa Seevers 1951","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada","funders":"","keywords":"Aedeagus; Dorsum; Appendage; Crista; Head (geology); Seta","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001034835,0.001177691,0.0004812686,0.001221164,0.001595254,0.000449205,0.0007404767,0.0006938024,0.02235214],"category_scores_gemma":[0.0003510425,0.0003512269,0.0001783956,0.0007265696,0.001101521,0.001210224,0.001033702,0.0005417746,0.01004606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013561,"about_ca_system_score_gemma":0.0004997355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994096,"about_ca_topic_score_gemma":0.03702502,"domain_scores_codex":[0.9998432,0.0000192602,0.00001370185,0.00006787688,0.00003227115,0.00002358778],"domain_scores_gemma":[0.9998622,0.00001645964,0.00005123987,0.00001872568,0.00003731009,0.00001407973],"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":[0.0004998244,0.00009814363,0.02752534,0.00102547,0.00007610753,0.000912572,0.001924529,0.0008812305,0.0193412,0.008964025,0.0419548,0.8967968],"study_design_scores_gemma":[0.0001939975,0.0003787649,0.2781644,0.00069445,0.00009687596,0.002423764,0.001066389,0.0005305184,0.002343603,0.00225188,0.7118087,0.00004672394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2660542,0.02606107,0.007977253,0.0009634777,0.00100196,0.001543442,0.006759207,0.001337071,0.6883023],"genre_scores_gemma":[0.9158896,0.007857002,0.00540273,0.0007778158,0.0002614621,0.0004539487,0.003574064,0.0001103195,0.06567314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02235214,"threshold_uncertainty_score":0.07477534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127910338398572,"score_gpt":0.1993859029655676,"score_spread":0.1865948691257104,"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."}}