{"id":"W6905752573","doi":"10.15468/dl.v08bnv","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); Identification (biology); 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":[0.0009707494,0.001989163,0.00162876,0.00524507,0.0009065407,0.002521751,0.002944053,0.001994105,0.1363513],"category_scores_gemma":[0.005679147,0.0008420484,0.001168523,0.01040814,0.0004337838,0.002317295,0.00261141,0.002012546,0.1966525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577382,"about_ca_system_score_gemma":0.002277802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007472,"about_ca_topic_score_gemma":0.03446245,"domain_scores_codex":[0.9989936,0.0001325145,0.0001319499,0.0003423638,0.0002285443,0.0001710758],"domain_scores_gemma":[0.9976881,0.0005927419,0.0002414954,0.0006284186,0.0005673181,0.0002818812],"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":[0.00002994137,0.00001230236,0.0004423533,0.0005554244,0.00001648862,0.00001614246,0.00002478783,0.0001386706,0.0001238167,0.0004080139,0.9967647,0.00146729],"study_design_scores_gemma":[0.00007085569,0.00000787495,0.001909203,0.0001874295,0.0000140247,0.00003763143,0.00007112263,0.0001484387,0.0001829165,0.0007541319,0.9966,0.00001636387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004731763,0.00003011084,0.00004224505,0.00003321679,0.00001165331,0.000004960828,0.998863,0.0003406083,0.0006268435],"genre_scores_gemma":[0.0001548841,0.00003332868,0.0001726243,0.00003639512,0.000003121856,0.00003434817,0.9990348,0.0001145602,0.0004159742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8636487,"threshold_uncertainty_score":0.4561405,"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."}}