{"id":"W6943311840","doi":"10.15468/dl.q2636m","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); State (computer science); Confidentiality","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":[0.00102444,0.001908124,0.001567437,0.005142518,0.0009483565,0.002476808,0.002761027,0.002016014,0.1566021],"category_scores_gemma":[0.005778334,0.0008911641,0.001119779,0.009956389,0.0004539865,0.002260322,0.002532509,0.00196765,0.2144629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545373,"about_ca_system_score_gemma":0.002186534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958813,"about_ca_topic_score_gemma":0.03256967,"domain_scores_codex":[0.9989783,0.0001445365,0.0001320843,0.0003554655,0.000217414,0.0001722917],"domain_scores_gemma":[0.9975259,0.0007143549,0.0002469488,0.0006435052,0.0005807102,0.0002886131],"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":[0.0000281141,0.00001153608,0.0003886576,0.0005514983,0.00001541543,0.00001486672,0.00002433759,0.0001342582,0.0001158776,0.0003712373,0.9969388,0.001405435],"study_design_scores_gemma":[0.00007202035,0.000008197499,0.001915269,0.0002015208,0.00001464411,0.00003798461,0.00007680965,0.000151041,0.000182169,0.0007347197,0.996588,0.00001760972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000425613,0.00002639339,0.00004300907,0.00003266558,0.00001184706,0.000005076538,0.998935,0.0003159757,0.0005874129],"genre_scores_gemma":[0.0001595118,0.00003199939,0.0001864045,0.00004136359,0.000003520247,0.00004180901,0.998975,0.0001282727,0.0004321345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.843398,"threshold_uncertainty_score":0.5238861,"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."}}