{"id":"W6887088383","doi":"10.15468/dl.p3uryr","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":"Matching (statistics); Download; Range (aeronautics); Order (exchange); 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":[0.0009034739,0.00197396,0.001572872,0.005081584,0.0009448662,0.002559244,0.00262956,0.00182981,0.1799006],"category_scores_gemma":[0.005638213,0.0009523936,0.001143246,0.01007432,0.0004185083,0.002274053,0.002577517,0.001836237,0.2403885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456323,"about_ca_system_score_gemma":0.002254179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030834,"about_ca_topic_score_gemma":0.03520647,"domain_scores_codex":[0.9989661,0.0001382234,0.0001298553,0.000372525,0.0002190657,0.0001742314],"domain_scores_gemma":[0.9975736,0.0006539903,0.0002416202,0.0006245183,0.0006198698,0.0002864744],"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":[0.00002940181,0.00001006776,0.0003530893,0.0005192188,0.00001404958,0.00001246266,0.00002081116,0.000107269,0.0001087025,0.000363998,0.9970866,0.001374329],"study_design_scores_gemma":[0.00006651592,0.000008172961,0.001748435,0.0001756189,0.00001402971,0.00003240948,0.00005766462,0.0001158822,0.0001681323,0.0007601709,0.9968355,0.00001741273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003717037,0.00002519954,0.00003800447,0.00002879494,0.00001062445,0.000004388664,0.9989003,0.0003165024,0.0006391018],"genre_scores_gemma":[0.000145805,0.00003447911,0.0001843971,0.00004637168,0.000003568003,0.00003891916,0.9988412,0.0001499933,0.0005551957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8200994,"threshold_uncertainty_score":0.6018275,"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."}}