{"id":"W6943218172","doi":"10.15468/dl.3wd2gh","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); Alien","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":[0.0009880023,0.00176777,0.00153863,0.005514792,0.00110281,0.003034482,0.002813159,0.001964632,0.1973333],"category_scores_gemma":[0.006690177,0.000947091,0.001262675,0.01092955,0.0004148497,0.002731915,0.002852323,0.002039594,0.2624626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662707,"about_ca_system_score_gemma":0.002572207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01981354,"about_ca_topic_score_gemma":0.03326873,"domain_scores_codex":[0.9988467,0.0001511421,0.0001656696,0.0004051382,0.0002478205,0.0001836778],"domain_scores_gemma":[0.9973521,0.0007406628,0.0002293801,0.0007049491,0.0006949852,0.0002779769],"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":[0.00002720361,0.000009937803,0.000388656,0.0006148748,0.00001440559,0.00001576862,0.00002719814,0.0001034322,0.0001127486,0.0004498311,0.9964108,0.001825095],"study_design_scores_gemma":[0.00004444854,0.000005747855,0.001342738,0.0001729592,0.00001151841,0.00003201823,0.00006986246,0.0001014564,0.0001458226,0.0006739042,0.9973856,0.00001401391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000366281,0.00002870602,0.00005524689,0.00003931596,0.00001268757,0.000005691721,0.9985945,0.0004094607,0.0008177644],"genre_scores_gemma":[0.000156993,0.00004406164,0.0002537144,0.00005237792,0.000003911827,0.00004689939,0.9986007,0.0001876947,0.0006536487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8026667,"threshold_uncertainty_score":0.6601456,"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."}}