{"id":"W6905678920","doi":"10.15468/dl.kqrjg8","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herpetology; Download; Toolbox; Matching (statistics); Range (aeronautics); Metadata","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":[0.0009501233,0.002024551,0.001538973,0.005177411,0.001016381,0.002573186,0.002731754,0.002058064,0.1787695],"category_scores_gemma":[0.00594452,0.0009657908,0.001332024,0.01029633,0.0003923643,0.002462022,0.002620434,0.001902207,0.2448235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618868,"about_ca_system_score_gemma":0.00235388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220347,"about_ca_topic_score_gemma":0.03360094,"domain_scores_codex":[0.9989136,0.0001316033,0.0001481271,0.0003771388,0.0002402594,0.0001891536],"domain_scores_gemma":[0.9975265,0.0006642711,0.0002215824,0.0006630303,0.0006393451,0.0002852813],"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":[0.00003355691,0.00001187506,0.0004281836,0.0004925123,0.00001427684,0.00001518244,0.00002317484,0.0001241715,0.000111725,0.0003419479,0.9967135,0.001689805],"study_design_scores_gemma":[0.00007830506,0.000009156626,0.002078235,0.0001855445,0.00001411928,0.00003813166,0.00008331326,0.0001923755,0.0001929425,0.0007521872,0.9963575,0.00001816839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004089328,0.00002223195,0.00004566044,0.00003216271,0.00001175212,0.000005375604,0.9988275,0.0004368592,0.0005776055],"genre_scores_gemma":[0.0001525365,0.00003065476,0.0002185324,0.00004275375,0.000003696468,0.00004231333,0.9988776,0.0001671333,0.0004649092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8212305,"threshold_uncertainty_score":0.5980437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}