{"id":"W6905773861","doi":"10.15468/dl.sn7wwe","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); Alien; The Internet","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":[0.001012779,0.001984456,0.001561498,0.00499217,0.001035421,0.0026205,0.002694341,0.002130569,0.1648686],"category_scores_gemma":[0.006283551,0.0008981195,0.001249135,0.009343855,0.0004591361,0.002321531,0.002587636,0.001966866,0.2308557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542239,"about_ca_system_score_gemma":0.002340535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159679,"about_ca_topic_score_gemma":0.03370712,"domain_scores_codex":[0.9989462,0.0001475381,0.0001302305,0.0003696021,0.0002299056,0.0001764352],"domain_scores_gemma":[0.9973713,0.0007829829,0.0002274616,0.0006923075,0.0006366872,0.00028921],"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":[0.00002838851,0.00001198194,0.0003987198,0.0005081526,0.00001354762,0.00001527587,0.00002349423,0.0001222293,0.0001073025,0.0003422722,0.9970418,0.001386715],"study_design_scores_gemma":[0.0000749363,0.000009425467,0.001977193,0.0002053986,0.0000144298,0.00003899114,0.0000847929,0.0001711415,0.0001884096,0.0007958266,0.9964213,0.00001809974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004739867,0.00002862058,0.00004552425,0.00004146383,0.00001388615,0.00000594599,0.9987549,0.0004188359,0.0006436145],"genre_scores_gemma":[0.0001757844,0.00003490618,0.0002030189,0.0000504444,0.000004095244,0.00004546931,0.9988289,0.0001586976,0.0004986909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351314,"threshold_uncertainty_score":0.5515404,"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."}}