{"id":"W6887240925","doi":"10.15468/dl.vnmgbp","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); Data set; Column (typography)","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":[0.001051152,0.002067828,0.00171956,0.005221981,0.001024222,0.0027359,0.002944156,0.00216946,0.1722908],"category_scores_gemma":[0.006283456,0.0009861778,0.001193954,0.01006727,0.0004573333,0.002400618,0.002667661,0.002066612,0.2265328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557506,"about_ca_system_score_gemma":0.002379259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974916,"about_ca_topic_score_gemma":0.03327297,"domain_scores_codex":[0.9989313,0.0001484839,0.0001359468,0.0003755727,0.0002318426,0.0001766993],"domain_scores_gemma":[0.997419,0.0007583372,0.0002427189,0.0006713669,0.0006051546,0.0003034215],"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":[0.00002976353,0.00001163733,0.0003644601,0.0005818047,0.00001560534,0.00001528424,0.00002319966,0.000119901,0.0001175005,0.0003858388,0.9970236,0.001311426],"study_design_scores_gemma":[0.0000792237,0.000008169812,0.001821183,0.0002013672,0.00001520003,0.00003764031,0.00006872744,0.0001378444,0.000186073,0.0008142541,0.996612,0.00001840609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003838191,0.00002620196,0.0000435425,0.00003289773,0.00001075485,0.000005106185,0.9988826,0.0003584985,0.0006019426],"genre_scores_gemma":[0.000157771,0.00003295816,0.0001926892,0.00004569269,0.00000341336,0.00004370105,0.9989125,0.0001575581,0.0004536844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277093,"threshold_uncertainty_score":0.57637,"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."}}