{"id":"W6906033524","doi":"10.15468/dl.sc1ghu","title":"Occurrence Download","year":2016,"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":[0.001077693,0.002015526,0.001653045,0.00511971,0.0009441939,0.002575234,0.003118453,0.002155648,0.1355955],"category_scores_gemma":[0.006376418,0.0008932801,0.001245891,0.009998291,0.000445616,0.002327016,0.002595264,0.002063174,0.1990745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551123,"about_ca_system_score_gemma":0.002410276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955697,"about_ca_topic_score_gemma":0.03312216,"domain_scores_codex":[0.9988727,0.000156534,0.0001493195,0.0003902672,0.0002476972,0.0001834706],"domain_scores_gemma":[0.9974599,0.0006727433,0.0002557538,0.0006929536,0.000619905,0.0002987998],"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":[0.00003012622,0.0000126683,0.000424371,0.0005147746,0.00001715424,0.00001482061,0.00002156941,0.0001309345,0.0001047485,0.000361843,0.997042,0.001325135],"study_design_scores_gemma":[0.0000865707,0.0000094313,0.002148769,0.0002123777,0.00001673543,0.00004168255,0.00007001863,0.0001716721,0.0001943438,0.0007969938,0.9962329,0.00001846871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004859361,0.00003191497,0.0000421622,0.00003559377,0.00001229034,0.000005344025,0.9988989,0.0003406201,0.0005845869],"genre_scores_gemma":[0.0001516356,0.00003118557,0.0001583394,0.00003856987,0.000003318476,0.00003676459,0.9990765,0.0001069694,0.0003966775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8644044,"threshold_uncertainty_score":0.4536123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}