{"id":"W6962154912","doi":"10.15468/dl.kryysx","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); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0008995334,0.002002737,0.001473678,0.004638019,0.0009137879,0.002353845,0.002543809,0.001900892,0.1576529],"category_scores_gemma":[0.005735405,0.0008854163,0.001188606,0.009269191,0.0004269496,0.002113969,0.002449278,0.001779205,0.2079226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441112,"about_ca_system_score_gemma":0.002233875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013079,"about_ca_topic_score_gemma":0.03232872,"domain_scores_codex":[0.9990127,0.0001315654,0.0001265016,0.0003577586,0.0002012478,0.0001701544],"domain_scores_gemma":[0.9976574,0.0006775208,0.000226918,0.0005998159,0.0005675062,0.000270823],"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":[0.0000341853,0.00001221172,0.0004290074,0.0005399286,0.00001477353,0.00001463373,0.00002093723,0.0001403273,0.0001295545,0.0003496094,0.9968194,0.001495487],"study_design_scores_gemma":[0.00008614291,0.00001183892,0.002134101,0.0001920341,0.00001616982,0.00003919605,0.00007068441,0.0001786327,0.0002150733,0.000802406,0.9962344,0.00001944523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004838364,0.00002443114,0.00003889637,0.00003243727,0.00001243784,0.000005006551,0.998904,0.0003563762,0.0005780404],"genre_scores_gemma":[0.0001686295,0.00003186017,0.0001873891,0.00004472274,0.000003568031,0.00004083489,0.9989311,0.0001375382,0.000454262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423471,"threshold_uncertainty_score":0.5274014,"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."}}