{"id":"W6943283614","doi":"10.15468/dl.sxsegm","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 collection","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":[0.0009336108,0.001978329,0.001535677,0.004619213,0.0009970755,0.002344542,0.002778168,0.002105325,0.1412551],"category_scores_gemma":[0.005387306,0.000888954,0.001224281,0.009236529,0.0004465837,0.002106185,0.002511911,0.001967119,0.2084607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563311,"about_ca_system_score_gemma":0.002265966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192513,"about_ca_topic_score_gemma":0.03682442,"domain_scores_codex":[0.9990408,0.0001264995,0.0001254985,0.0003302415,0.0002158372,0.000161182],"domain_scores_gemma":[0.9978541,0.0005756926,0.0002020595,0.00058006,0.0005330067,0.0002550107],"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":[0.00003022749,0.0000127059,0.0004330392,0.0005409218,0.00001598681,0.00001729193,0.00002745475,0.0001451973,0.0001481709,0.0004028382,0.9966834,0.001542661],"study_design_scores_gemma":[0.00007281685,0.000008300617,0.001960305,0.0001878112,0.00001491844,0.00004070803,0.00008010549,0.0001788728,0.00021852,0.000768269,0.996451,0.00001835087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942473,0.00002747204,0.00004976992,0.00003499305,0.00001266818,0.000005472977,0.9987863,0.0004018544,0.0006320612],"genre_scores_gemma":[0.0001640418,0.00002995114,0.0002141131,0.00004120513,0.000003096193,0.00003978301,0.9989535,0.0001366667,0.0004176768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8587449,"threshold_uncertainty_score":0.4725454,"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."}}