{"id":"W6924640455","doi":"10.15468/dl.msvcpu","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":[0.001083182,0.001930555,0.001573051,0.004774257,0.0009875557,0.002577067,0.002763951,0.001996565,0.1711464],"category_scores_gemma":[0.006519388,0.0009678487,0.001131723,0.009317179,0.0004499219,0.002213983,0.002595838,0.001968008,0.2270745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583406,"about_ca_system_score_gemma":0.002344757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02111487,"about_ca_topic_score_gemma":0.0334419,"domain_scores_codex":[0.9989657,0.0001345266,0.0001329152,0.0003611443,0.0002378754,0.0001677915],"domain_scores_gemma":[0.9974541,0.0007366104,0.0002337466,0.0006717956,0.0006151823,0.0002884588],"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":[0.00002726692,0.00001060405,0.0003737819,0.0005265122,0.00001489627,0.00001477003,0.00002414889,0.0001227343,0.0001243304,0.0003723026,0.9970451,0.001343521],"study_design_scores_gemma":[0.00007379778,0.000007995694,0.001888858,0.0001862278,0.00001477764,0.00003818631,0.00007225936,0.0001456055,0.0001990028,0.0007278761,0.9966271,0.00001829482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003789801,0.00002290617,0.00004442967,0.00003349901,0.0000114992,0.000004897344,0.9988702,0.0003821523,0.0005925331],"genre_scores_gemma":[0.0001612671,0.00003099057,0.0002035904,0.00004183215,0.000003283548,0.00004373903,0.9988953,0.0001731219,0.0004468045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288536,"threshold_uncertainty_score":0.5725418,"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."}}