{"id":"W6905765561","doi":"10.15468/dl.ndjcbq","title":"Occurrence Download","year":2016,"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; Set (abstract data type)","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":[0.001038026,0.002087803,0.001733979,0.005758614,0.0009374999,0.002713884,0.002904995,0.002038689,0.1432059],"category_scores_gemma":[0.006104663,0.0009088606,0.001278413,0.01114086,0.0004465671,0.00245947,0.00284696,0.002056204,0.2218705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695478,"about_ca_system_score_gemma":0.002623026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0231551,"about_ca_topic_score_gemma":0.03872703,"domain_scores_codex":[0.9987722,0.0001593969,0.0001667322,0.0004018975,0.0002888329,0.00021099],"domain_scores_gemma":[0.9973501,0.0006297725,0.0002774461,0.0006999124,0.0007140138,0.0003287322],"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":[0.00003159483,0.00001074602,0.0003768383,0.0005653715,0.00001648524,0.00001394712,0.00002045946,0.0001100567,0.0001141386,0.0003488618,0.9969962,0.001395308],"study_design_scores_gemma":[0.00007039394,0.000008234521,0.0019052,0.0002043709,0.00001515342,0.00003701249,0.0000592495,0.0001210844,0.0001774992,0.000673521,0.9967115,0.00001672979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003682774,0.00003040363,0.00003493707,0.00003293545,0.00001087562,0.000005005609,0.9989458,0.0003122386,0.0005910485],"genre_scores_gemma":[0.0001299173,0.00003546888,0.0001457672,0.00004288891,0.000003302208,0.00003084786,0.9990935,0.0001076344,0.0004105446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567941,"threshold_uncertainty_score":0.4790714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}