{"id":"W6950492637","doi":"10.5281/zenodo.6607263","title":"Phoca vitulina Linnaeus 1758","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Salivary Gland Tumors Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phoca; Harbor seal; Subspecies; Peninsula; Pacific ocean","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":[0.00008877234,0.0005620627,0.0001916669,0.0008836039,0.0008523584,0.0003347464,0.0004385075,0.0002349469,0.01962375],"category_scores_gemma":[0.0001140348,0.0001241909,0.0001868043,0.0003228425,0.0002004522,0.0005538894,0.0007534692,0.000258388,0.009905268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005555805,"about_ca_system_score_gemma":0.0002164134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018037,"about_ca_topic_score_gemma":0.03457106,"domain_scores_codex":[0.9999108,0.000005689172,0.000004996235,0.00003122779,0.00002324985,0.00002398522],"domain_scores_gemma":[0.9999322,0.000006538359,0.00002294338,0.000005913278,0.00001828358,0.00001424401],"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":[0.0008614029,0.0004626065,0.09160317,0.0008715856,0.00009124957,0.001719572,0.001589481,0.0008004009,0.1635269,0.004179045,0.05955053,0.6747439],"study_design_scores_gemma":[0.00004905677,0.000433726,0.3170776,0.0002242596,0.00005762,0.001758676,0.001025146,0.0003715106,0.009081808,0.000745584,0.6691476,0.00002749079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4090209,0.00649771,0.003018865,0.0004676489,0.0004467703,0.0005607823,0.01334379,0.001273353,0.5653701],"genre_scores_gemma":[0.8119081,0.0023922,0.004398735,0.0007355554,0.00009708438,0.0002210095,0.01104742,0.00009529953,0.1691047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01962375,"threshold_uncertainty_score":0.06564802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100725489605988,"score_gpt":0.2572563435947256,"score_spread":0.2262490886986657,"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."}}