{"id":"W7083705776","doi":"10.15468/dl.yps7ew","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001018303,0.001874676,0.001465819,0.004657786,0.0008401177,0.002398185,0.002669781,0.001950836,0.1337976],"category_scores_gemma":[0.005941695,0.0008430338,0.001250883,0.008617569,0.0004479303,0.002022301,0.002444257,0.001880252,0.1847516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634609,"about_ca_system_score_gemma":0.002329064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160801,"about_ca_topic_score_gemma":0.03745699,"domain_scores_codex":[0.998946,0.0001657623,0.0001450613,0.0003517782,0.0002247422,0.0001667504],"domain_scores_gemma":[0.9975268,0.0006700415,0.0002370071,0.000662402,0.0006186939,0.0002849956],"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":[0.00003492411,0.00001154209,0.0004256576,0.0006196865,0.00001901517,0.00001563347,0.00002190898,0.0001412391,0.0001164253,0.0003971538,0.9967751,0.001421757],"study_design_scores_gemma":[0.00008669527,0.000009204628,0.001940684,0.0001953716,0.00001526153,0.00003910522,0.00006087303,0.0001517333,0.0001776169,0.000759299,0.9965481,0.00001615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004402346,0.0000324319,0.00003690093,0.00003949039,0.00001170229,0.000005951034,0.998855,0.0003580716,0.0006164709],"genre_scores_gemma":[0.000171682,0.00003871469,0.0001701081,0.00005536508,0.000003654628,0.00003582925,0.9989762,0.0001243675,0.000424152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8662024,"threshold_uncertainty_score":0.4475976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806660175117713,"score_gpt":0.26117946275888,"score_spread":0.2431128610077029,"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."}}