{"id":"W6924778785","doi":"10.15468/dl.wvz5bc","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":[0.0009293672,0.001992268,0.001519351,0.00535889,0.0009377773,0.002504421,0.00265342,0.001933454,0.1560498],"category_scores_gemma":[0.005357888,0.0008817616,0.001125689,0.009971187,0.0004486548,0.002090793,0.002555888,0.001889206,0.2244624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533185,"about_ca_system_score_gemma":0.002395319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257335,"about_ca_topic_score_gemma":0.03965774,"domain_scores_codex":[0.9990133,0.0001318908,0.0001293378,0.0003291787,0.0002224463,0.0001738146],"domain_scores_gemma":[0.9976411,0.0006132124,0.0002366025,0.0006210958,0.0005948801,0.000293261],"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":[0.00003118498,0.00001141395,0.0003876738,0.0005609799,0.0000153959,0.00001558859,0.00002328139,0.0001227889,0.0001316639,0.0003698257,0.9968864,0.001443726],"study_design_scores_gemma":[0.00006815411,0.000007923612,0.001862596,0.0001854777,0.0000140269,0.00003657628,0.00006665415,0.0001213007,0.0001852607,0.0006622476,0.9967727,0.0000170953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004162077,0.00002597846,0.00003558625,0.00002961307,0.00001076503,0.000004866961,0.9989401,0.0003014544,0.0006100198],"genre_scores_gemma":[0.0001455827,0.00003145153,0.0001602311,0.0000390559,0.000003304677,0.0000345538,0.999041,0.000115968,0.0004287971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439502,"threshold_uncertainty_score":0.5220386,"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."}}