{"id":"W6887180280","doi":"10.15468/dl.qxh9es","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; 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":[0.0008975262,0.001991176,0.001584517,0.004981402,0.0009231318,0.002514251,0.002599332,0.001822186,0.1709677],"category_scores_gemma":[0.005386134,0.0009293925,0.001124789,0.009903042,0.0004147314,0.002254791,0.002533905,0.001821481,0.2342902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482075,"about_ca_system_score_gemma":0.002252539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994252,"about_ca_topic_score_gemma":0.0348018,"domain_scores_codex":[0.9989684,0.0001385933,0.0001323428,0.0003693233,0.0002136028,0.0001777302],"domain_scores_gemma":[0.997673,0.0006028411,0.0002374038,0.0006012355,0.0006041919,0.0002814136],"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":[0.00003023714,0.00001034175,0.0003560568,0.0005077545,0.00001375312,0.00001230074,0.00001930771,0.0001066489,0.0001099674,0.0003526785,0.997152,0.001329087],"study_design_scores_gemma":[0.00007004439,0.000008829418,0.00182325,0.0001793557,0.0000141319,0.00003311062,0.00005823283,0.0001201876,0.0001726957,0.0007404851,0.996762,0.00001766164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003668692,0.0000244093,0.00003416019,0.00002833878,0.00001038424,0.000004394899,0.9989638,0.0002839233,0.0006138121],"genre_scores_gemma":[0.0001423475,0.00003315902,0.0001679125,0.00004545494,0.000003487889,0.00003737766,0.9989229,0.000124774,0.0005225701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290323,"threshold_uncertainty_score":0.571944,"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."}}