{"id":"W6924465756","doi":"10.15468/dl.rqkc75","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); 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":[0.001010281,0.001929011,0.001612849,0.004855417,0.001022056,0.002664784,0.002794515,0.002057626,0.1748923],"category_scores_gemma":[0.006095196,0.000924537,0.001146331,0.009667143,0.0004578817,0.002600666,0.002687538,0.002106759,0.2446961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536026,"about_ca_system_score_gemma":0.002280755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01868734,"about_ca_topic_score_gemma":0.03396179,"domain_scores_codex":[0.998941,0.0001516164,0.0001281895,0.0003778941,0.0002315627,0.0001697063],"domain_scores_gemma":[0.9974034,0.000723258,0.0002341441,0.0007231466,0.0006203435,0.000295728],"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":[0.00002637041,0.00001078279,0.0003177902,0.0004802981,0.00001257164,0.00001290681,0.00002273818,0.0001099605,0.0001033806,0.0003901514,0.9971889,0.001324346],"study_design_scores_gemma":[0.00006177276,0.000006870549,0.00140284,0.000164455,0.00001119102,0.00002921773,0.00006422494,0.0001240075,0.0001621341,0.0008267808,0.9971308,0.0000156809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003922502,0.00002572373,0.00004796924,0.00003711891,0.00001198139,0.000005295236,0.9986873,0.0004110725,0.0007343526],"genre_scores_gemma":[0.0001572702,0.00003366615,0.000219421,0.00004815527,0.000003651508,0.00004312241,0.9987593,0.0001863921,0.0005490855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8251078,"threshold_uncertainty_score":0.5850729,"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."}}