{"id":"W6924792233","doi":"10.15468/dl.vfd6z7","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008826454,0.002159453,0.001452363,0.004007456,0.0009013437,0.002208724,0.0027438,0.001982989,0.1071185],"category_scores_gemma":[0.005615891,0.0007799081,0.001270952,0.007697078,0.0004304112,0.00185451,0.002141762,0.001843802,0.158509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626367,"about_ca_system_score_gemma":0.002426123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02481334,"about_ca_topic_score_gemma":0.04115676,"domain_scores_codex":[0.9990695,0.0001353143,0.0001282664,0.0003201745,0.0002038027,0.0001429951],"domain_scores_gemma":[0.9980131,0.0005674266,0.000190609,0.0004927777,0.0005025782,0.0002335101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004067487,0.00001456425,0.0004656579,0.0005345446,0.00001744355,0.00001845422,0.00002122249,0.0001809917,0.0001199118,0.0003816453,0.9965759,0.001628869],"study_design_scores_gemma":[0.000115639,0.00001366814,0.00218894,0.0001961729,0.00001876743,0.00005541412,0.00007143155,0.0002954984,0.0002386924,0.0009744843,0.99581,0.00002127907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000645721,0.00004090139,0.00005247967,0.00004892875,0.0000137624,0.000006979807,0.9985656,0.0005479138,0.0006588125],"genre_scores_gemma":[0.0001809443,0.00003987587,0.0002226235,0.00005009943,0.000003335364,0.00003671167,0.9989457,0.0001150178,0.0004057208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8928815,"threshold_uncertainty_score":0.358347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162600514032386,"score_gpt":0.233139396199633,"score_spread":0.2015133910593091,"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."}}