{"id":"W6887068052","doi":"10.15468/dl.mqcc7b","title":"Occurrence Download","year":2022,"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","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":[0.001167571,0.002033937,0.00168403,0.005168033,0.001100747,0.002804735,0.003036244,0.002098036,0.1692375],"category_scores_gemma":[0.006643661,0.001001017,0.001198699,0.01043442,0.0004726487,0.002456894,0.002660353,0.002150848,0.2350718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737786,"about_ca_system_score_gemma":0.002584308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02465922,"about_ca_topic_score_gemma":0.03884735,"domain_scores_codex":[0.9988346,0.000158787,0.0001530863,0.000394982,0.0002689974,0.0001895706],"domain_scores_gemma":[0.9972112,0.0007856241,0.000254622,0.0007305227,0.0007173875,0.0003006074],"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":[0.00002727003,0.0000103783,0.0003257506,0.0005056569,0.00001458961,0.00001435465,0.00002391344,0.0001121149,0.0001105598,0.0004019806,0.9971521,0.001301375],"study_design_scores_gemma":[0.00006365657,0.000006462114,0.001565233,0.0001737041,0.0000132726,0.00003262307,0.00006658916,0.0001235582,0.000177182,0.000750027,0.9970104,0.00001733015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003289164,0.00002285072,0.00004661902,0.00003229424,0.00001073004,0.000004880837,0.9988413,0.0003662392,0.0006421623],"genre_scores_gemma":[0.0001381196,0.00003089535,0.0001941668,0.00004017695,0.000003055077,0.00004144301,0.9989381,0.0001654593,0.0004485637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307625,"threshold_uncertainty_score":0.5661559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}