{"id":"W6949945680","doi":"10.5281/zenodo.5670002","title":"Metisella orientalis subsp. orientalis Aurivillius 1925","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Evergreen; Tanzania; Range (aeronautics)","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":[0.00008317261,0.0006696864,0.0002528522,0.00111115,0.0009473405,0.0005380004,0.0003358682,0.0003642642,0.006077352],"category_scores_gemma":[0.0002059255,0.0001437167,0.0001760753,0.0005350698,0.0003084639,0.0005116696,0.000580524,0.0003149053,0.002591957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004022049,"about_ca_system_score_gemma":0.0001378233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008767026,"about_ca_topic_score_gemma":0.01852109,"domain_scores_codex":[0.9998721,0.00001661307,0.00001063785,0.0000392349,0.00003329896,0.00002824144],"domain_scores_gemma":[0.9999151,0.00001019134,0.00003753115,0.00000707608,0.00001786611,0.00001222744],"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":[0.0009463446,0.0001429301,0.06504682,0.001913141,0.0001247284,0.009865263,0.004198482,0.0007974555,0.2450903,0.004394626,0.01619683,0.6512831],"study_design_scores_gemma":[0.00005174294,0.0003549521,0.4797063,0.0003898221,0.0001172864,0.02157145,0.002831259,0.0003501842,0.01013577,0.0009721371,0.4834513,0.00006792159],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5543025,0.03386191,0.002817792,0.0007406422,0.0004910149,0.0002142987,0.00243274,0.0005031062,0.4046361],"genre_scores_gemma":[0.9807206,0.002824436,0.00129034,0.0001618453,0.00009897725,0.00003448834,0.0005794537,0.00002565623,0.01426419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008767026,"threshold_uncertainty_score":0.02033079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604791582495213,"score_gpt":0.2249621039926625,"score_spread":0.1989141881677103,"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."}}