{"id":"W6962302747","doi":"10.15468/dl.mrrgwp","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); UniProt; File Transfer Protocol","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":[0.001156294,0.002012009,0.001693205,0.005560928,0.001057108,0.002884424,0.002951798,0.002152153,0.1668336],"category_scores_gemma":[0.007153869,0.0009935602,0.00121947,0.01068039,0.0004794608,0.002502563,0.002699155,0.002088833,0.2280977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667461,"about_ca_system_score_gemma":0.002465588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170755,"about_ca_topic_score_gemma":0.03454803,"domain_scores_codex":[0.9987663,0.0001721682,0.0001644673,0.0004354307,0.0002676942,0.0001940027],"domain_scores_gemma":[0.9970828,0.000878592,0.0002695003,0.0007701213,0.0006721042,0.0003268391],"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":[0.00002853407,0.00001014726,0.0003661966,0.0005374312,0.00001543347,0.00001470477,0.00002367426,0.0001215834,0.0001040504,0.0003878889,0.9970776,0.001312856],"study_design_scores_gemma":[0.00007323342,0.000007781838,0.001787376,0.0002090759,0.00001546078,0.00003891791,0.00007537113,0.0001591836,0.0001696423,0.0008410322,0.9966047,0.00001829534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003570127,0.00002666293,0.00004405968,0.00003529412,0.00001146877,0.000004711249,0.9988971,0.000366938,0.0005781373],"genre_scores_gemma":[0.0001486152,0.00003375814,0.0001869928,0.00004349377,0.000003374457,0.00003805352,0.9989741,0.0001540509,0.0004175788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8331664,"threshold_uncertainty_score":0.5581141,"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."}}