{"id":"W6924425371","doi":"10.15468/dl.mcfex5","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); State (computer science); Confidentiality","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":[0.0009767807,0.001961999,0.001508066,0.005078755,0.0009860763,0.002415896,0.00276288,0.002055673,0.1488847],"category_scores_gemma":[0.005592868,0.0008724378,0.001131312,0.009500191,0.000464385,0.002220775,0.002523534,0.00200756,0.2006996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539738,"about_ca_system_score_gemma":0.002219264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213598,"about_ca_topic_score_gemma":0.03723371,"domain_scores_codex":[0.9990188,0.0001374466,0.0001234454,0.0003391217,0.0002150548,0.0001661084],"domain_scores_gemma":[0.997646,0.0006702564,0.000228902,0.0006264729,0.0005503047,0.0002780082],"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":[0.0000294909,0.0000125552,0.0004124488,0.000543456,0.0000152688,0.00001606929,0.00002684332,0.0001452511,0.0001265036,0.0003904518,0.9968009,0.001480804],"study_design_scores_gemma":[0.00007095929,0.000008522373,0.001947857,0.0001840597,0.0000141469,0.00004047868,0.00008066756,0.0001650975,0.0001896786,0.0007613021,0.9965192,0.00001802051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005280835,0.00002851461,0.0000504612,0.00003629392,0.00001352949,0.000005434774,0.9987682,0.0003880705,0.0006567162],"genre_scores_gemma":[0.0001742325,0.00003157238,0.0002099065,0.00004172613,0.000003460552,0.00004124594,0.9988953,0.0001459401,0.0004565259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511153,"threshold_uncertainty_score":0.498069,"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."}}