{"id":"W6943245601","doi":"10.15468/dl.s479ae","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); Alien; 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":[0.001045823,0.001945025,0.001552148,0.004653038,0.001044074,0.002527263,0.002838926,0.002149269,0.1591422],"category_scores_gemma":[0.006288081,0.0009131547,0.001258152,0.008723841,0.0004577163,0.002424444,0.002632454,0.00204059,0.2160646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500945,"about_ca_system_score_gemma":0.002325772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988001,"about_ca_topic_score_gemma":0.03353607,"domain_scores_codex":[0.9989491,0.0001510482,0.0001286199,0.0003697841,0.0002312294,0.0001701699],"domain_scores_gemma":[0.9973526,0.0007784422,0.0002262001,0.0007294313,0.0006246199,0.0002886634],"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":[0.00002798567,0.00001204348,0.0003538977,0.0005089696,0.00001342744,0.00001443732,0.00002245512,0.0001230199,0.0001097946,0.0003466354,0.9970585,0.001408956],"study_design_scores_gemma":[0.00007593996,0.000009394433,0.001826514,0.0001955403,0.00001353125,0.0000374272,0.00007559622,0.0001601957,0.0001903311,0.000781589,0.9966159,0.00001809469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004902775,0.00003043285,0.00005128826,0.0000460776,0.00001576926,0.000006806527,0.9986375,0.0004702713,0.0006927797],"genre_scores_gemma":[0.0001761431,0.00003520347,0.000227712,0.00005438586,0.00000424768,0.00005117793,0.9987736,0.000164828,0.0005125562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8408578,"threshold_uncertainty_score":0.5323837,"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."}}