{"id":"W6906335777","doi":"10.15468/dl.ydbbmk","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":[0.001129689,0.001973835,0.00167366,0.005237224,0.001070612,0.00283511,0.002967244,0.0020581,0.1822586],"category_scores_gemma":[0.006620565,0.001005909,0.001184758,0.01032588,0.0004608562,0.002546856,0.002739768,0.002115844,0.2451289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638739,"about_ca_system_score_gemma":0.002448943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146368,"about_ca_topic_score_gemma":0.03555869,"domain_scores_codex":[0.9988311,0.0001567714,0.0001552761,0.0004056816,0.0002647892,0.0001864237],"domain_scores_gemma":[0.9972731,0.0007874117,0.0002500658,0.0007149842,0.0006631145,0.0003112494],"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":[0.00002677584,0.00000984829,0.0003202615,0.0004952197,0.00001366557,0.00001395012,0.00002316591,0.0001039614,0.0001069473,0.0003846329,0.99722,0.001281454],"study_design_scores_gemma":[0.00006330785,0.000006534021,0.001541007,0.0001812659,0.00001315341,0.00003375584,0.00006761925,0.0001236257,0.0001687087,0.0007437555,0.9970405,0.00001679585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003275088,0.00002247914,0.00004733478,0.00003299934,0.00001143462,0.000004749415,0.9988317,0.0003609142,0.0006555921],"genre_scores_gemma":[0.0001375085,0.00003189783,0.0001975105,0.00004321531,0.00000330439,0.00003954752,0.9988826,0.0001754426,0.0004889975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8177414,"threshold_uncertainty_score":0.6097158,"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."}}