{"id":"W6887010075","doi":"10.15468/dl.kvqq9r","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":"Download; Matching (statistics); Range (aeronautics); Real world data; Data set","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":[0.001132878,0.001986383,0.001631686,0.005074393,0.001083539,0.002683324,0.002980418,0.002062719,0.1646768],"category_scores_gemma":[0.006445458,0.0009901366,0.001162057,0.01003706,0.0004727595,0.002326071,0.002620662,0.002106149,0.2227883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695894,"about_ca_system_score_gemma":0.002496609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326593,"about_ca_topic_score_gemma":0.03776549,"domain_scores_codex":[0.9988771,0.000145035,0.0001388026,0.0003932044,0.0002621707,0.0001836217],"domain_scores_gemma":[0.9973907,0.0007549204,0.0002410935,0.0006730457,0.0006488198,0.0002914039],"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":[0.00002691327,0.00001100696,0.0003609469,0.0005062609,0.00001423155,0.00001491553,0.00002486646,0.0001195098,0.0001231727,0.0004023364,0.9970577,0.001338256],"study_design_scores_gemma":[0.00006383523,0.000006958124,0.001709657,0.0001766844,0.00001360163,0.00003411485,0.00007146902,0.0001319146,0.0001923136,0.0007284792,0.9968533,0.00001767937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003813991,0.00002292535,0.00004682126,0.00003357884,0.00001110134,0.000004942221,0.99883,0.0003664025,0.0006461522],"genre_scores_gemma":[0.0001563522,0.00003013705,0.0002070271,0.00004049246,0.000003073433,0.00004314278,0.9988748,0.0001717931,0.0004730765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8353232,"threshold_uncertainty_score":0.5508989,"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."}}