{"id":"W6924367188","doi":"10.15468/dl.dpp2mx","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; Set (abstract data type)","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":[0.001008898,0.002033089,0.001683149,0.005471106,0.001032431,0.002611711,0.002861006,0.002182649,0.1757411],"category_scores_gemma":[0.006431241,0.0009285592,0.001229754,0.01025916,0.0004623743,0.002341547,0.002673961,0.001942418,0.2292931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654979,"about_ca_system_score_gemma":0.002394621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02173975,"about_ca_topic_score_gemma":0.0346631,"domain_scores_codex":[0.9988798,0.000146176,0.0001494978,0.0003843977,0.0002519019,0.0001882306],"domain_scores_gemma":[0.9974165,0.0007547437,0.0002454995,0.0006512437,0.0006392947,0.0002926924],"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":[0.0000318936,0.00001108726,0.0003756962,0.0006117724,0.00001607427,0.00001605672,0.00002353282,0.0001249556,0.0001304301,0.0003740642,0.9968147,0.001469767],"study_design_scores_gemma":[0.0000762127,0.000008394417,0.001804472,0.0002080246,0.00001571366,0.00003840795,0.00006708612,0.0001362528,0.0001904648,0.0007104764,0.9967265,0.00001783127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003818118,0.00002775611,0.00003976767,0.00003289817,0.00001100198,0.000004975633,0.998893,0.0003477058,0.0006047591],"genre_scores_gemma":[0.0001586107,0.00003395256,0.0001747009,0.00004423268,0.000003401104,0.00003972323,0.9989583,0.0001393058,0.0004476747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8242589,"threshold_uncertainty_score":0.5879124,"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."}}