{"id":"W6924638098","doi":"10.15468/dl.xsajgx","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":[0.0009857876,0.001976125,0.001610004,0.005296049,0.0009274089,0.002568298,0.002912076,0.002098908,0.1312026],"category_scores_gemma":[0.006048734,0.0008524672,0.001182521,0.01042314,0.0004393196,0.002436625,0.002501358,0.002034465,0.1943569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667226,"about_ca_system_score_gemma":0.002352195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030003,"about_ca_topic_score_gemma":0.03277121,"domain_scores_codex":[0.9988852,0.000155697,0.0001488953,0.0003830424,0.0002467158,0.0001804639],"domain_scores_gemma":[0.9975057,0.0006653307,0.0002571149,0.0006659051,0.0006158467,0.0002901842],"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":[0.00003016266,0.00001258114,0.0004498955,0.000551198,0.00001691268,0.00001549632,0.00002240039,0.0001375208,0.0001088636,0.0003787579,0.9967999,0.001476193],"study_design_scores_gemma":[0.00007668754,0.000009265234,0.002116868,0.0002078671,0.00001601399,0.00004417832,0.00007297811,0.0001749858,0.0001841494,0.0007642161,0.9963158,0.00001710403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004956422,0.00003735727,0.00004106581,0.00003784322,0.0000126841,0.000004949957,0.9989244,0.000318558,0.0005734824],"genre_scores_gemma":[0.0001570874,0.00003611805,0.0001529566,0.00003766192,0.000003376509,0.00003237898,0.999084,0.00009290184,0.0004036273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8687974,"threshold_uncertainty_score":0.4389164,"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."}}