{"id":"W6887300366","doi":"10.15468/dl.tyifwi","title":"Occurrence Download","year":2016,"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); Data set; Confidentiality","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":[0.001037317,0.001977835,0.001624474,0.005452493,0.0009942831,0.002631563,0.003038238,0.002085896,0.1377595],"category_scores_gemma":[0.006089846,0.0008927695,0.001177572,0.01052646,0.0004497847,0.00249545,0.002713866,0.002151684,0.2063987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626124,"about_ca_system_score_gemma":0.002519184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094993,"about_ca_topic_score_gemma":0.03707603,"domain_scores_codex":[0.998865,0.0001522898,0.0001477015,0.0003847966,0.0002650723,0.0001852053],"domain_scores_gemma":[0.9973477,0.0006709256,0.0002640397,0.0007441493,0.0006557307,0.000317382],"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":[0.00002714189,0.0000119125,0.0003817506,0.0004622303,0.00001410486,0.0000143579,0.00002228934,0.0001128534,0.0001007154,0.000381557,0.997161,0.001310143],"study_design_scores_gemma":[0.00007094961,0.000008001388,0.00189733,0.0001811328,0.00001309925,0.0000392863,0.00007152381,0.0001456269,0.0001786862,0.000771853,0.9966056,0.00001698747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004826754,0.00003037441,0.00004699329,0.00003809652,0.00001300447,0.000005470939,0.9987763,0.0003840662,0.0006574526],"genre_scores_gemma":[0.00014729,0.00003209768,0.0001757876,0.000038451,0.00000334911,0.00003537509,0.9989901,0.0001218786,0.0004556028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622404,"threshold_uncertainty_score":0.4608516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}