{"id":"W6924780126","doi":"10.15468/dl.y76tcd","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Software; 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":[0.0009444652,0.001846308,0.001508238,0.004448627,0.0008926186,0.002501085,0.002737553,0.001890401,0.1584339],"category_scores_gemma":[0.005902336,0.0008565693,0.001223893,0.008434629,0.000404413,0.002136287,0.002300804,0.00198467,0.2306443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492765,"about_ca_system_score_gemma":0.002172525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01733806,"about_ca_topic_score_gemma":0.02909043,"domain_scores_codex":[0.9990645,0.0001303518,0.0001185834,0.0003501708,0.0001942956,0.0001421257],"domain_scores_gemma":[0.9977962,0.0006417053,0.0001948737,0.0005510602,0.0005716567,0.0002445294],"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":[0.00002969919,0.00001031966,0.0003330664,0.0004970197,0.00001526145,0.00001376647,0.00001812522,0.0001222226,0.0001002926,0.0003389394,0.997051,0.001470375],"study_design_scores_gemma":[0.00008518696,0.000009455618,0.001773981,0.0001807739,0.00001658233,0.00003903842,0.00006360435,0.0002131908,0.0002164554,0.001017993,0.9963652,0.00001854536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004033509,0.0000264527,0.00005936155,0.00003680426,0.0000119165,0.00000666749,0.9986745,0.0005184623,0.0006254484],"genre_scores_gemma":[0.0001852853,0.00003663519,0.0002733486,0.00005620597,0.000004288358,0.00005635954,0.9986734,0.0002082246,0.0005063393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415661,"threshold_uncertainty_score":0.5300143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800100390821396,"score_gpt":0.2287529204927818,"score_spread":0.2107519165845679,"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."}}