{"id":"W6924359675","doi":"10.15468/dl.qxqcqj","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); State (computer science); Identification (biology)","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":[0.0009175442,0.002043201,0.001541205,0.005050438,0.001041366,0.002418539,0.002818468,0.001972899,0.1607711],"category_scores_gemma":[0.005535879,0.0009465498,0.001183962,0.009822928,0.0004752727,0.002375295,0.002701371,0.00199156,0.2224879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510813,"about_ca_system_score_gemma":0.002262376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017329,"about_ca_topic_score_gemma":0.03418191,"domain_scores_codex":[0.998978,0.000134922,0.0001286128,0.0003726264,0.0002105211,0.0001753038],"domain_scores_gemma":[0.9977384,0.0006000261,0.0002183069,0.0006004961,0.0005702352,0.0002727117],"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":[0.00003175329,0.00001220695,0.0003722177,0.0005325056,0.00001345206,0.00001484514,0.00002446073,0.000121651,0.0001365923,0.0003888603,0.9968362,0.00151529],"study_design_scores_gemma":[0.00006730628,0.00000888556,0.001682009,0.0001736412,0.00001308201,0.00003694279,0.00006964774,0.0001325106,0.0001879555,0.000752843,0.9968573,0.00001788699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005138065,0.00002820157,0.00004792831,0.00003336421,0.00001406022,0.000005495592,0.9987252,0.000391445,0.0007028021],"genre_scores_gemma":[0.0001561405,0.00003363796,0.0002125231,0.00004563146,0.000003571607,0.00004361378,0.9988515,0.0001611985,0.0004921186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8392289,"threshold_uncertainty_score":0.5378329,"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."}}