{"id":"W6893695106","doi":"10.5281/zenodo.5073984","title":"Pseudosinella rolfsi Mills 1932","year":2019,"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":"","funders":"","keywords":"Distribution (mathematics); State (computer science); Sample (material); Work (physics)","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":[0.000137086,0.0006737682,0.0002272907,0.0009555089,0.001122193,0.0004682859,0.0006534873,0.0007209902,0.008329639],"category_scores_gemma":[0.0005373296,0.0002210441,0.0001665052,0.0006642438,0.0005081633,0.001270883,0.000913454,0.0004816509,0.002943748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000457426,"about_ca_system_score_gemma":0.0002306668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00287852,"about_ca_topic_score_gemma":0.003574746,"domain_scores_codex":[0.9998226,0.00002257276,0.00001963075,0.00005377377,0.00005919945,0.0000221989],"domain_scores_gemma":[0.9997365,0.00006205752,0.0001153447,0.00002257667,0.00004673089,0.00001680645],"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":[0.0008397996,0.0001686711,0.05077032,0.00187136,0.00009275695,0.01270872,0.003689117,0.001830943,0.0706605,0.005346055,0.03002814,0.8219936],"study_design_scores_gemma":[0.0001636139,0.000917802,0.2878736,0.0008255788,0.0001643662,0.04782768,0.005957425,0.001752756,0.02249243,0.003814894,0.6280976,0.0001122468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5938917,0.01395502,0.008549266,0.001828947,0.001559553,0.0003864522,0.002123752,0.0007700421,0.3769354],"genre_scores_gemma":[0.9815844,0.002166047,0.001925613,0.0003685091,0.0001839519,0.00007389134,0.0005188538,0.00001942155,0.01315927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008329639,"threshold_uncertainty_score":0.02786541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128943701577722,"score_gpt":0.2127053830909582,"score_spread":0.1914159460751809,"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."}}