{"id":"W6943532218","doi":"10.15468/dl.tzhkjy","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); Column (typography); Lasius","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":[0.001011065,0.00202732,0.001633309,0.0044681,0.001045203,0.002505949,0.00292354,0.002134207,0.1514762],"category_scores_gemma":[0.006107743,0.0009473021,0.00124452,0.008710709,0.0004678176,0.002277661,0.00265042,0.002124353,0.2119772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630942,"about_ca_system_score_gemma":0.002434733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116526,"about_ca_topic_score_gemma":0.03565007,"domain_scores_codex":[0.9989833,0.0001333769,0.0001297618,0.0003594645,0.0002283217,0.0001657203],"domain_scores_gemma":[0.9976509,0.0006762695,0.000210913,0.0006355733,0.0005609755,0.000265396],"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":[0.00003043018,0.00001189507,0.0003802133,0.0005320671,0.00001566459,0.00001502018,0.00002556727,0.0001387689,0.0001211128,0.0003804288,0.9968714,0.001477505],"study_design_scores_gemma":[0.00008187262,0.000008719954,0.001779295,0.000198594,0.00001563972,0.00004000692,0.00007612832,0.0001717369,0.0002043074,0.0008283632,0.9965766,0.00001864973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000439943,0.00002798391,0.00005070904,0.00003674159,0.00001323262,0.000005434574,0.9988019,0.0004391806,0.0005807525],"genre_scores_gemma":[0.0001565799,0.00003204016,0.000223404,0.00004343475,0.000003243616,0.00004327255,0.9989237,0.0001589776,0.0004153197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8485237,"threshold_uncertainty_score":0.5067385,"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."}}