{"id":"W6925028586","doi":"10.15468/dl.zcg8g7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Tendon Structure and Treatment","field":"Medicine","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":[0.0009360393,0.001965743,0.001515514,0.003978884,0.0008631936,0.00232357,0.002899742,0.002382992,0.1363219],"category_scores_gemma":[0.004934943,0.0007883481,0.001169279,0.006998571,0.0004608332,0.001846845,0.002187244,0.0018402,0.2060035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502698,"about_ca_system_score_gemma":0.002057675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01751999,"about_ca_topic_score_gemma":0.03384332,"domain_scores_codex":[0.9991972,0.0001176419,0.0001067163,0.0002759724,0.0001695506,0.0001330124],"domain_scores_gemma":[0.9980519,0.0005230549,0.0001975255,0.0005062638,0.0004853761,0.000235924],"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":[0.00003648725,0.00001453192,0.0004271691,0.0005535755,0.00001430881,0.00001714382,0.00001881622,0.0001581056,0.0001196905,0.0003728734,0.9966157,0.001651545],"study_design_scores_gemma":[0.00008863652,0.00001031409,0.001925981,0.0002308731,0.00001477802,0.00004901794,0.00006467759,0.0001851208,0.0002131837,0.0009284746,0.996271,0.00001783964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005102238,0.00003889048,0.00005137947,0.00004085662,0.00001315143,0.000006672389,0.9988042,0.0003290367,0.0006647013],"genre_scores_gemma":[0.0001803349,0.00004283412,0.0002154834,0.00005200931,0.000004017701,0.00004189616,0.9988776,0.00009514253,0.0004907404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8636781,"threshold_uncertainty_score":0.4560421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464834465740765,"score_gpt":0.2351956821688442,"score_spread":0.2205473375114366,"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."}}