{"id":"W6943239453","doi":"10.15468/dl.n2hcrk","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); Range (aeronautics); Software; 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":[0.001141857,0.00200906,0.00167246,0.005482401,0.001041374,0.002837072,0.002962932,0.002109479,0.1629727],"category_scores_gemma":[0.006733286,0.0009899787,0.001178285,0.01056097,0.0004775467,0.002461053,0.002635836,0.002082112,0.2246007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164007,"about_ca_system_score_gemma":0.002455017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02168048,"about_ca_topic_score_gemma":0.03501964,"domain_scores_codex":[0.9987891,0.0001661578,0.0001647522,0.0004190318,0.0002698106,0.0001911156],"domain_scores_gemma":[0.997155,0.0008233206,0.0002721546,0.0007473271,0.0006781247,0.0003240801],"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":[0.00002851299,0.00001082978,0.0003701749,0.0005395497,0.0000152987,0.00001548619,0.00002386765,0.0001179153,0.0001135921,0.0003902839,0.9970898,0.001284755],"study_design_scores_gemma":[0.00007103118,0.000007586325,0.00180909,0.0001953303,0.00001466979,0.00003929079,0.00007448612,0.0001405853,0.0001769493,0.0007528763,0.9967005,0.00001761701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003569366,0.00002402989,0.00004204818,0.00003307915,0.00001105369,0.000004615793,0.9989526,0.0003274836,0.0005694368],"genre_scores_gemma":[0.0001407037,0.00003070444,0.000177236,0.00004010443,0.000003207973,0.00003700587,0.9990169,0.0001394906,0.0004146832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8370273,"threshold_uncertainty_score":0.5451981,"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."}}