{"id":"W6924751264","doi":"10.15468/dl.w7cbxu","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); Field (mathematics); Order (exchange)","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":[0.001156542,0.001948421,0.001663777,0.005398101,0.001087985,0.002821294,0.003012277,0.002013139,0.1785504],"category_scores_gemma":[0.006843803,0.001011308,0.001171918,0.01079908,0.0004549415,0.002519993,0.00268843,0.002087202,0.2428796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621647,"about_ca_system_score_gemma":0.002498699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117855,"about_ca_topic_score_gemma":0.0344706,"domain_scores_codex":[0.9988142,0.0001577783,0.0001574634,0.0004132987,0.0002688022,0.0001884957],"domain_scores_gemma":[0.9971495,0.0008084774,0.0002658375,0.0007515825,0.0007090312,0.0003155682],"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":[0.00002710196,0.000009743028,0.0003299117,0.0004988696,0.00001407585,0.0000138307,0.00002250479,0.0001049724,0.0001034791,0.0003813962,0.9971774,0.001316765],"study_design_scores_gemma":[0.00006348808,0.00000657309,0.001610261,0.0001843248,0.0000139807,0.00003406322,0.00006822503,0.0001204834,0.0001752559,0.0007647836,0.9969416,0.00001694567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003349442,0.00002274216,0.00004658212,0.00003176431,0.00001083073,0.000004738687,0.9988619,0.0003521344,0.0006358068],"genre_scores_gemma":[0.0001406479,0.00003166864,0.000196031,0.00004158186,0.000003218971,0.00004040831,0.9988955,0.0001736332,0.0004772656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8214496,"threshold_uncertainty_score":0.5973105,"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."}}