{"id":"W6924603758","doi":"10.15468/dl.nenk4j","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Alien; Task (project management)","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":[0.0009522857,0.001984837,0.001554193,0.004613696,0.0009693013,0.002510949,0.002700811,0.001968258,0.1616351],"category_scores_gemma":[0.00619073,0.0009003807,0.001197697,0.009354056,0.0004352983,0.002209614,0.002522056,0.001863219,0.2139849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526729,"about_ca_system_score_gemma":0.002329559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106448,"about_ca_topic_score_gemma":0.0343564,"domain_scores_codex":[0.9989933,0.0001397258,0.000124945,0.0003660433,0.0002118437,0.0001641128],"domain_scores_gemma":[0.9976781,0.0006912008,0.0002181506,0.0005818253,0.0005742422,0.0002566045],"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":[0.0000304873,0.00001100732,0.0003852959,0.0005618331,0.00001449662,0.00001427816,0.00002188114,0.0001262659,0.0001163459,0.0003624952,0.9969547,0.001400954],"study_design_scores_gemma":[0.00007598417,0.000009779258,0.001815072,0.0001977399,0.00001493726,0.00003626138,0.00006786216,0.0001605083,0.000191197,0.0008270338,0.996585,0.00001857519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000419005,0.00002725124,0.00004246401,0.00003593012,0.00001195313,0.000005284523,0.99884,0.0003843502,0.0006108517],"genre_scores_gemma":[0.0001673106,0.0000360124,0.0002074312,0.00005101372,0.000003651854,0.00004733295,0.9988272,0.0001603102,0.0004997592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383648,"threshold_uncertainty_score":0.5407234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}