{"id":"W6887134376","doi":"10.15468/dl.njztaw","title":"Occurrence Download","year":2018,"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); Confidentiality; 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":[0.0009957867,0.001937199,0.001585508,0.005082016,0.0009634253,0.002636601,0.003033077,0.00210598,0.1445299],"category_scores_gemma":[0.006007145,0.0008474499,0.001181323,0.00989883,0.0004371062,0.002406616,0.002559656,0.002022045,0.2103117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529944,"about_ca_system_score_gemma":0.002329527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01891459,"about_ca_topic_score_gemma":0.03142399,"domain_scores_codex":[0.9988875,0.0001535093,0.0001428375,0.0003847377,0.0002517312,0.0001796957],"domain_scores_gemma":[0.9975961,0.0006541514,0.00023287,0.0006538314,0.0005913883,0.0002716945],"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":[0.00002589577,0.00001069582,0.0003685907,0.0004490898,0.00001502373,0.00001322463,0.00002019349,0.000122437,0.00009304841,0.0003618255,0.9971355,0.001384378],"study_design_scores_gemma":[0.00007020687,0.000007826935,0.00181694,0.0001872503,0.00001509487,0.00003758061,0.00006797543,0.0001731683,0.0001813069,0.000818176,0.9966077,0.00001697113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004485753,0.0000333529,0.00004816459,0.00003992215,0.00001318125,0.000005147555,0.9987935,0.0003898102,0.0006319157],"genre_scores_gemma":[0.0001602628,0.00003493139,0.0001676697,0.00004124309,0.000003495193,0.00003624912,0.9989948,0.0001197507,0.0004415777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8554701,"threshold_uncertainty_score":0.4835008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}