{"id":"W6887193786","doi":"10.15468/dl.v3k736","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":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.000898253,0.001884182,0.001540489,0.004895319,0.0009675795,0.002528168,0.002715406,0.00194378,0.177551],"category_scores_gemma":[0.005520475,0.000874911,0.001106883,0.01062257,0.0004051172,0.002324653,0.002453217,0.001939632,0.2381748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602633,"about_ca_system_score_gemma":0.002370449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02465287,"about_ca_topic_score_gemma":0.03907107,"domain_scores_codex":[0.999062,0.0001171015,0.000115973,0.000325439,0.0002193,0.0001602025],"domain_scores_gemma":[0.9976776,0.0006259923,0.0002169142,0.0006123644,0.0005882489,0.0002788391],"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":[0.00002655863,0.000009294958,0.0003258186,0.0004302717,0.00001234942,0.00001364689,0.00002036677,0.000110014,0.00009989191,0.0003718499,0.9972907,0.001289203],"study_design_scores_gemma":[0.00006477575,0.000006612207,0.001731993,0.0001618235,0.00001258064,0.0000345224,0.00006631256,0.0001431668,0.0001847196,0.0008344384,0.9967425,0.00001651711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003530991,0.00002088765,0.00004453092,0.00003017081,0.000009977431,0.000004271515,0.9988187,0.0003723804,0.0006637256],"genre_scores_gemma":[0.0001601884,0.00003014548,0.0002024964,0.00004051488,0.000003103321,0.00003622284,0.9988524,0.0001704556,0.000504419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.822449,"threshold_uncertainty_score":0.5939672,"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."}}