{"id":"W6886919790","doi":"10.15468/dl.6uq5vx","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); Data set; Column (typography)","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":[0.0009745316,0.001963023,0.001605375,0.005296348,0.001055673,0.002564769,0.002896855,0.002160537,0.1511339],"category_scores_gemma":[0.00626126,0.0009074174,0.001219099,0.01025301,0.0004676583,0.002390105,0.002620315,0.001995758,0.2083442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695483,"about_ca_system_score_gemma":0.0026642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02518276,"about_ca_topic_score_gemma":0.04282597,"domain_scores_codex":[0.9988696,0.0001545395,0.0001500083,0.0003836887,0.0002527336,0.0001894438],"domain_scores_gemma":[0.9973417,0.0007254212,0.0002490605,0.0006976954,0.0006843834,0.0003017892],"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":[0.00003233875,0.00001203336,0.0003793838,0.0005755348,0.00001584832,0.00001637982,0.00002265753,0.0001213362,0.0001237708,0.0003854931,0.9969496,0.001365569],"study_design_scores_gemma":[0.00007466698,0.0000083343,0.001915404,0.0001939376,0.00001485041,0.00003894586,0.00006856299,0.000133465,0.0001899188,0.000734688,0.9966092,0.00001813417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004105165,0.00002685553,0.00003856596,0.00003427204,0.00001100378,0.000005133788,0.9989009,0.0003349555,0.0006072235],"genre_scores_gemma":[0.0001432834,0.00003168565,0.0001695361,0.00004149094,0.00000323538,0.00003611891,0.9990402,0.0001190408,0.000415378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8488661,"threshold_uncertainty_score":0.5055932,"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."}}