{"id":"W6887314422","doi":"10.15468/dl.w4kdqm","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); State (computer science); 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":[0.001158422,0.00197308,0.001650429,0.005161342,0.001042791,0.002705555,0.002983752,0.002042867,0.172109],"category_scores_gemma":[0.006433831,0.0009773592,0.001169025,0.01037789,0.0004613041,0.002400501,0.002611751,0.002062677,0.2358468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669647,"about_ca_system_score_gemma":0.002464473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226819,"about_ca_topic_score_gemma":0.03575248,"domain_scores_codex":[0.998875,0.0001536228,0.0001471481,0.0003840809,0.0002577015,0.0001824857],"domain_scores_gemma":[0.9973134,0.000768452,0.0002512195,0.0006995537,0.000673707,0.0002936269],"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":[0.0000269824,0.00001044696,0.0003271623,0.0005095819,0.00001504823,0.00001405983,0.00002357263,0.0001129593,0.0001119276,0.0003898677,0.9971154,0.001343135],"study_design_scores_gemma":[0.00006574814,0.000006893366,0.001662297,0.0001827798,0.00001412478,0.0000345767,0.00006872129,0.0001286265,0.0001835666,0.0007612738,0.9968737,0.00001765304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003311882,0.00002334542,0.00004587572,0.00003166208,0.00001063348,0.000004735226,0.9988685,0.0003579865,0.0006242257],"genre_scores_gemma":[0.0001400071,0.00003104139,0.0001961317,0.00003986364,0.000003069545,0.00003986725,0.9989516,0.000160122,0.0004382693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827891,"threshold_uncertainty_score":0.575762,"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."}}