{"id":"W6924886912","doi":"10.15468/dl.yrnt2m","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":[0.001034898,0.0020131,0.001658015,0.00475808,0.001013076,0.002581372,0.002930193,0.002199852,0.1610762],"category_scores_gemma":[0.006365365,0.0009352481,0.001213014,0.009246842,0.0004636978,0.002468588,0.002655101,0.002079623,0.2194519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560021,"about_ca_system_score_gemma":0.002399856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041715,"about_ca_topic_score_gemma":0.03569685,"domain_scores_codex":[0.9989234,0.0001566249,0.0001378163,0.0003845956,0.0002245064,0.0001731263],"domain_scores_gemma":[0.9972761,0.0007906459,0.0002467721,0.000727053,0.0006547244,0.0003047014],"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":[0.00002987246,0.00001169759,0.0003498756,0.0005820754,0.00001484785,0.00001449023,0.00002173593,0.0001211638,0.0001098725,0.0003614642,0.9971228,0.001260038],"study_design_scores_gemma":[0.00008238638,0.000009003866,0.001710415,0.0002043517,0.00001471095,0.0000350091,0.00006660206,0.0001423642,0.0001785695,0.0008297528,0.9967082,0.00001865731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003625507,0.00002596502,0.00003978698,0.0000355864,0.00001123257,0.000005373804,0.998934,0.0003473146,0.0005645133],"genre_scores_gemma":[0.0001558822,0.00003348705,0.0001873488,0.00004897998,0.000003596306,0.0000440636,0.9989468,0.0001407369,0.0004391439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389238,"threshold_uncertainty_score":0.5388536,"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."}}