{"id":"W6924359572","doi":"10.15468/dl.rp5svf","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); Alien; Range (aeronautics); 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":[0.001031831,0.002055514,0.001621023,0.004639392,0.001035068,0.002576398,0.00286388,0.002247625,0.1558114],"category_scores_gemma":[0.00621385,0.0009030694,0.001291525,0.0088338,0.0004513461,0.002402974,0.002494314,0.002064711,0.21819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634452,"about_ca_system_score_gemma":0.002322979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02183773,"about_ca_topic_score_gemma":0.03408874,"domain_scores_codex":[0.9989535,0.0001485447,0.0001282855,0.0003733861,0.0002243377,0.0001719863],"domain_scores_gemma":[0.997435,0.0007823903,0.0002209566,0.0006750742,0.0006146263,0.0002720109],"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":[0.00002963113,0.00001245976,0.0003757291,0.0005333719,0.00001416696,0.00001526044,0.00002108187,0.0001313382,0.0001135708,0.0003375419,0.9970238,0.001392176],"study_design_scores_gemma":[0.00008241092,0.0000102949,0.001922333,0.0002237541,0.00001611736,0.00003947974,0.00007890673,0.0001990741,0.0002151168,0.0008362839,0.9963568,0.00001940091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000434934,0.00002890882,0.00004463216,0.00004168368,0.00001304722,0.000005989271,0.9988264,0.0004156818,0.0005801769],"genre_scores_gemma":[0.0001647239,0.00003418006,0.0002014149,0.00005082082,0.000003791629,0.00004650488,0.9989181,0.0001429653,0.000437554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441886,"threshold_uncertainty_score":0.5212411,"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."}}