{"id":"W6887130387","doi":"10.15468/dl.r8hnbz","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); 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":[0.001004482,0.00196618,0.001672217,0.005218571,0.001003907,0.002603711,0.002748683,0.00202397,0.1608839],"category_scores_gemma":[0.006120719,0.0009337763,0.001145573,0.0105574,0.0004578721,0.002431769,0.002645685,0.002060155,0.22253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543935,"about_ca_system_score_gemma":0.002363324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108826,"about_ca_topic_score_gemma":0.03567757,"domain_scores_codex":[0.9989195,0.0001494111,0.0001407048,0.0003747884,0.0002412108,0.0001743438],"domain_scores_gemma":[0.9973429,0.0007445496,0.0002515739,0.0006982759,0.000659691,0.0003030167],"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":[0.00002841102,0.00001099894,0.0003761191,0.000573634,0.00001463797,0.00001507071,0.00002571452,0.0001278982,0.0001146384,0.000392679,0.9969141,0.001406085],"study_design_scores_gemma":[0.00006733274,0.000007288835,0.001677944,0.0001852462,0.00001276578,0.00003252898,0.00007320564,0.0001304769,0.0001656961,0.0007653247,0.9968651,0.00001705347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003899571,0.00002501936,0.00004376627,0.00003329988,0.00001121967,0.000005046119,0.9988703,0.0003535915,0.0006185796],"genre_scores_gemma":[0.0001586054,0.00003407214,0.0002067409,0.00004283691,0.000003363976,0.0000424685,0.9988694,0.0001546055,0.0004879392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391161,"threshold_uncertainty_score":0.5382104,"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."}}