{"id":"W6905757804","doi":"10.15468/dl.mhrqab","title":"Occurrence Download","year":2023,"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); Data quality","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":[0.0009381062,0.001881361,0.001526696,0.004603778,0.001014478,0.002304269,0.00284605,0.002014535,0.1429064],"category_scores_gemma":[0.005300137,0.0009096292,0.001160485,0.009231835,0.0004592774,0.002126004,0.002535725,0.002034177,0.2088265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548081,"about_ca_system_score_gemma":0.002247116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206091,"about_ca_topic_score_gemma":0.03809924,"domain_scores_codex":[0.9990938,0.0001182962,0.0001150467,0.0003186823,0.0001996636,0.0001546161],"domain_scores_gemma":[0.9978479,0.0005787943,0.0002008441,0.0005833728,0.0005317101,0.0002574193],"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":[0.00002837027,0.00001224992,0.0004273327,0.0005339241,0.00001513501,0.00001668531,0.00003107416,0.0001399241,0.0001508172,0.0004344238,0.9966339,0.001575955],"study_design_scores_gemma":[0.00006330693,0.000007058113,0.001840864,0.0001709793,0.00001335939,0.00003603503,0.00007978141,0.0001431717,0.0001879847,0.0007062372,0.9967344,0.00001699161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004961713,0.00002548942,0.00005403371,0.00003498717,0.00001276649,0.000005523671,0.9987234,0.000406753,0.0006873708],"genre_scores_gemma":[0.0001661175,0.00002965849,0.0002321684,0.00004161891,0.000003081183,0.00004336117,0.9988906,0.000159679,0.0004336374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8570936,"threshold_uncertainty_score":0.4780695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}