{"id":"W6962169936","doi":"10.15468/dl.ydaq68","title":"Occurrence Download","year":2023,"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); Identification (biology); Data collection","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":[0.0009206039,0.001944942,0.001545731,0.004524227,0.0009309537,0.002385855,0.002701652,0.001939791,0.150541],"category_scores_gemma":[0.005439523,0.0009229018,0.001167051,0.0094009,0.000431629,0.002129403,0.002468114,0.001943289,0.2020064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554186,"about_ca_system_score_gemma":0.00220899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239793,"about_ca_topic_score_gemma":0.03737216,"domain_scores_codex":[0.9990946,0.0001176269,0.0001142726,0.0003146326,0.0002044413,0.0001544855],"domain_scores_gemma":[0.9978963,0.0006034342,0.0001969609,0.0005499343,0.0005048459,0.0002483885],"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":[0.00003002353,0.00001088931,0.0003970954,0.0005341536,0.00001568201,0.00001595216,0.00002648865,0.0001471796,0.0001304514,0.0004035794,0.9968172,0.001471197],"study_design_scores_gemma":[0.00007556851,0.000007931178,0.002010735,0.0001837779,0.00001452771,0.00003917229,0.00007789797,0.0001789801,0.0002027277,0.0007632411,0.9964274,0.00001806024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004406661,0.00002379894,0.00004838053,0.00003204236,0.00001100915,0.000004848776,0.9988304,0.0004132724,0.0005922234],"genre_scores_gemma":[0.0001680253,0.00003026703,0.0002071714,0.00003976997,0.000002952153,0.00003869905,0.9989489,0.0001651599,0.0003990604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.849459,"threshold_uncertainty_score":0.5036098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}