{"id":"W6962565810","doi":"10.15468/dl.x5k6zk","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001018587,0.00196065,0.001569518,0.004783762,0.001006978,0.002516022,0.002857056,0.002178519,0.1545774],"category_scores_gemma":[0.005886457,0.0009034519,0.001252681,0.009305726,0.0004586278,0.002394531,0.002500084,0.002065831,0.2217335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638412,"about_ca_system_score_gemma":0.002351677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283602,"about_ca_topic_score_gemma":0.03839355,"domain_scores_codex":[0.9989411,0.000151269,0.0001313363,0.0003711763,0.0002352977,0.0001697819],"domain_scores_gemma":[0.9974501,0.0007429963,0.0002231906,0.0006818725,0.000616121,0.0002856817],"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":[0.00002860585,0.00001237987,0.0003526475,0.0004889745,0.00001418794,0.00001399383,0.00002180437,0.0001236408,0.0001134546,0.0003662051,0.9971139,0.001350204],"study_design_scores_gemma":[0.00007483739,0.000009191825,0.001996812,0.0001871426,0.00001447389,0.0000369984,0.00007451023,0.0001561226,0.0001965515,0.0008048935,0.9964299,0.00001862409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004221144,0.00002516959,0.00004249328,0.00003727065,0.00001184207,0.000005254408,0.9988804,0.0003451857,0.0006101047],"genre_scores_gemma":[0.0001501286,0.00002992835,0.0001795026,0.00004274765,0.000003257802,0.00003925863,0.9989769,0.0001258226,0.0004525176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8454226,"threshold_uncertainty_score":0.5171131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}