{"id":"W6887083108","doi":"10.15468/dl.npkuw9","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009426793,0.001871838,0.001580841,0.005013266,0.001085344,0.003047354,0.002788394,0.001893939,0.1964678],"category_scores_gemma":[0.006515832,0.0009212506,0.001360215,0.009780112,0.0004154565,0.002644042,0.002828666,0.001956767,0.2813648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450319,"about_ca_system_score_gemma":0.002360349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017537,"about_ca_topic_score_gemma":0.03252089,"domain_scores_codex":[0.9988891,0.0001385203,0.0001395884,0.0003992486,0.0002373496,0.0001961782],"domain_scores_gemma":[0.997422,0.0006814964,0.0002088969,0.0007096424,0.0007091299,0.000268841],"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":[0.00002832676,0.000009451393,0.0004183534,0.0005067549,0.00001427969,0.00001618878,0.00002579319,0.0001201094,0.0001141004,0.0003911586,0.996528,0.001827489],"study_design_scores_gemma":[0.00005035009,0.000006738431,0.001563247,0.000159387,0.0000120127,0.00003333175,0.0000781102,0.0001588597,0.0001644028,0.0007771328,0.9969805,0.00001593605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004611804,0.00003055458,0.00006528176,0.00004532565,0.00001767084,0.000006076947,0.9982498,0.0006490127,0.00088995],"genre_scores_gemma":[0.0001913168,0.00004073296,0.000261112,0.0000544797,0.000005141015,0.00004556905,0.9984924,0.0002482457,0.0006610538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8035322,"threshold_uncertainty_score":0.6572504,"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."}}