{"id":"W6905997703","doi":"10.15468/dl.z9auc4","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.001006191,0.002083088,0.001662101,0.005093419,0.001007119,0.002752501,0.002823924,0.001924613,0.1673092],"category_scores_gemma":[0.006333469,0.0009800185,0.001237349,0.01034682,0.0004251808,0.002463512,0.002679552,0.001961855,0.230196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537979,"about_ca_system_score_gemma":0.002416013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994299,"about_ca_topic_score_gemma":0.03414246,"domain_scores_codex":[0.9988329,0.0001663573,0.0001569348,0.0004141588,0.000245832,0.0001838412],"domain_scores_gemma":[0.9973549,0.0007223711,0.0002478301,0.0007028087,0.0006759041,0.0002962626],"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":[0.00003411612,0.00001078144,0.0003337292,0.000563586,0.00001563343,0.00001324711,0.0000197239,0.000112618,0.0001103075,0.0003768353,0.9969915,0.001417821],"study_design_scores_gemma":[0.00007068517,0.000008464519,0.001541662,0.0001719062,0.00001438606,0.00003255922,0.00005446865,0.000123524,0.000166228,0.0007970958,0.9970016,0.00001754451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003518703,0.00002769217,0.00004133203,0.00003298609,0.00001143988,0.000005008662,0.9988727,0.0003429061,0.0006307712],"genre_scores_gemma":[0.0001435306,0.00003759723,0.0001940667,0.00005164741,0.000003728062,0.00004150996,0.9988682,0.0001465253,0.0005131822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326908,"threshold_uncertainty_score":0.5597051,"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."}}