{"id":"W6905685841","doi":"10.15468/dl.kce28c","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; Alien; Range (aeronautics); State (computer science)","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":[0.0009097648,0.001942956,0.001437164,0.004653025,0.0009576078,0.002400207,0.002567823,0.001846032,0.1585336],"category_scores_gemma":[0.005898356,0.0008781102,0.001166336,0.009394703,0.0004195987,0.002159218,0.0024488,0.001761245,0.2144248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413945,"about_ca_system_score_gemma":0.002246247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076433,"about_ca_topic_score_gemma":0.03393633,"domain_scores_codex":[0.9989861,0.0001374857,0.000128699,0.0003639729,0.0002127297,0.0001710891],"domain_scores_gemma":[0.9976467,0.0006678891,0.0002202021,0.0006005429,0.0006004455,0.0002640997],"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":[0.00003159356,0.00001170722,0.000419985,0.0004888165,0.00001295402,0.00001379056,0.00002067275,0.0001264073,0.0001170795,0.0003550458,0.996902,0.001500029],"study_design_scores_gemma":[0.00007496473,0.00001040225,0.002012732,0.0001866517,0.0000139966,0.00003623349,0.00007070426,0.0001623343,0.0001994017,0.0007923235,0.9964219,0.00001824235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004874985,0.00002503132,0.0000425132,0.00003377168,0.00001257775,0.000005116886,0.9988123,0.0003769912,0.0006429871],"genre_scores_gemma":[0.0001663596,0.00003155032,0.0001938186,0.00004485091,0.000003636187,0.00004047967,0.998888,0.0001435025,0.0004877794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414664,"threshold_uncertainty_score":0.5303477,"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."}}