{"id":"W6943359586","doi":"10.15468/dl.8xx7qr","title":"Occurrence Download","year":2024,"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); Reference data; Raw data","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":[0.001064883,0.001983242,0.001752917,0.005296461,0.001036353,0.002765319,0.002964246,0.002017045,0.1786106],"category_scores_gemma":[0.006303668,0.0009844769,0.001142505,0.01058177,0.0004518892,0.002335694,0.002664187,0.002035106,0.24186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165261,"about_ca_system_score_gemma":0.002607206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354098,"about_ca_topic_score_gemma":0.03956933,"domain_scores_codex":[0.998934,0.0001468115,0.0001381504,0.0003678334,0.0002381527,0.0001750842],"domain_scores_gemma":[0.9974495,0.0007312341,0.0002420421,0.0006388757,0.000644795,0.0002934598],"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":[0.00002805358,0.00001004944,0.0003453546,0.0005993595,0.00001581377,0.00001473751,0.00002582318,0.0001104177,0.0001217589,0.0004038162,0.9969536,0.001371159],"study_design_scores_gemma":[0.00006404053,0.000006498383,0.001652346,0.0001955509,0.00001474196,0.00003322984,0.00006728945,0.0001123435,0.000182731,0.0007643182,0.9968894,0.0000175274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003124481,0.00002287829,0.00004134782,0.00002862671,0.000009123,0.000004455394,0.998938,0.0003230105,0.0006013878],"genre_scores_gemma":[0.0001411727,0.00003251035,0.0001946481,0.00003990711,0.000002921593,0.00004168591,0.998921,0.0001582974,0.0004677695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8213894,"threshold_uncertainty_score":0.5975119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}