{"id":"W6961969230","doi":"10.15468/dl.z3dsxp","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); Set (abstract data type); 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":[0.0010977,0.002001846,0.001628914,0.005320284,0.001014209,0.002742204,0.00287949,0.002079331,0.1683881],"category_scores_gemma":[0.006660566,0.0009781021,0.001156353,0.01025241,0.0004702375,0.002389323,0.00265835,0.0020188,0.2325323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652561,"about_ca_system_score_gemma":0.002504427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205374,"about_ca_topic_score_gemma":0.03552629,"domain_scores_codex":[0.9988438,0.0001554315,0.0001544467,0.0004026645,0.0002587097,0.0001848927],"domain_scores_gemma":[0.997233,0.0008022392,0.0002628403,0.0007106618,0.000673077,0.0003181567],"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":[0.00002686469,0.00001016881,0.0003476428,0.0005084124,0.00001419742,0.00001387295,0.00002244552,0.0001103938,0.0001012709,0.0003555487,0.9972578,0.001231467],"study_design_scores_gemma":[0.00007472046,0.000007862143,0.001786601,0.0001973903,0.00001454176,0.00003724225,0.00007569958,0.0001421861,0.0001718993,0.0007465874,0.9967277,0.00001764467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003402346,0.00002348061,0.00003924851,0.00003324149,0.00001087449,0.00000456973,0.998993,0.000323762,0.0005377633],"genre_scores_gemma":[0.0001434282,0.00003134636,0.0001744382,0.0000425531,0.000003308738,0.0000383867,0.9989949,0.0001427744,0.0004288298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8316119,"threshold_uncertainty_score":0.5633143,"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."}}