{"id":"W6887120393","doi":"10.15468/dl.rgrk6p","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); Column (typography); R package","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":[0.00113485,0.002010386,0.0016716,0.005372189,0.001080071,0.002877805,0.002994392,0.002082165,0.1709568],"category_scores_gemma":[0.006610644,0.0009887872,0.001170773,0.01065499,0.0004712135,0.002551073,0.002681502,0.002106642,0.2374322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670996,"about_ca_system_score_gemma":0.002489358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02216748,"about_ca_topic_score_gemma":0.03605867,"domain_scores_codex":[0.9988116,0.0001600671,0.0001567594,0.0004168898,0.0002656407,0.0001890502],"domain_scores_gemma":[0.9972403,0.0008110966,0.0002591011,0.0007232607,0.000652598,0.000313502],"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":[0.00002670195,0.00001005343,0.0003382555,0.0005059562,0.00001413685,0.00001454834,0.00002334866,0.000110299,0.0001097689,0.00038527,0.9971673,0.001294409],"study_design_scores_gemma":[0.00006203193,0.000006834574,0.001627535,0.0001834609,0.00001360783,0.00003618197,0.00007043983,0.0001331684,0.0001737318,0.0007521747,0.9969236,0.00001722975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000034145,0.00002391776,0.00004664581,0.00003345333,0.00001151485,0.000004510058,0.9988798,0.0003553844,0.0006105927],"genre_scores_gemma":[0.0001395804,0.00003191208,0.0001901308,0.00004111503,0.00000324908,0.00003744934,0.9989626,0.0001571944,0.000436641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290432,"threshold_uncertainty_score":0.5719075,"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."}}