{"id":"W6943564166","doi":"10.15468/dl.xfpgh7","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); Set (abstract data type); 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":[0.001137247,0.001940706,0.001616574,0.005294585,0.001056109,0.002841957,0.002961291,0.001971346,0.1884335],"category_scores_gemma":[0.006703886,0.0009916036,0.001145512,0.0107563,0.0004583922,0.00247575,0.002706824,0.00204305,0.2443846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637516,"about_ca_system_score_gemma":0.002450675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052664,"about_ca_topic_score_gemma":0.03419922,"domain_scores_codex":[0.9988551,0.0001510996,0.0001506744,0.0003946997,0.0002607373,0.0001876785],"domain_scores_gemma":[0.9973416,0.0007643681,0.0002500296,0.0006883795,0.0006520107,0.0003036081],"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":[0.00002627634,0.000009281012,0.0003115808,0.00049604,0.00001365559,0.00001352189,0.00002255053,0.00009957733,0.0001057038,0.0003974184,0.9972,0.001304378],"study_design_scores_gemma":[0.00005917137,0.000006192404,0.001474256,0.000177422,0.00001285606,0.00003278751,0.00006567499,0.0001122059,0.0001713008,0.000738531,0.997134,0.00001567398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003167317,0.00002253665,0.00004651341,0.00003164757,0.00001118774,0.00000463271,0.9988422,0.0003352697,0.0006743312],"genre_scores_gemma":[0.0001387067,0.00003208289,0.0001939184,0.00004209354,0.00000336386,0.00004023559,0.9988939,0.0001713146,0.0004842569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8115665,"threshold_uncertainty_score":0.6303729,"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."}}