{"id":"W6924629479","doi":"10.15468/dl.y8yzq8","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology)","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":["insufficient_payload"],"category_scores_codex":[0.0008232103,0.002743345,0.002301819,0.006732571,0.001184362,0.003716283,0.002323278,0.002296016,0.3306751],"category_scores_gemma":[0.005535083,0.0009894191,0.00186033,0.01044936,0.000383696,0.003378818,0.003662361,0.002037514,0.4266688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521919,"about_ca_system_score_gemma":0.002284605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359337,"about_ca_topic_score_gemma":0.03949966,"domain_scores_codex":[0.9988064,0.0001337787,0.0001620341,0.0004242741,0.0002466921,0.0002268511],"domain_scores_gemma":[0.997452,0.0006441104,0.0001944332,0.0006271654,0.0006985008,0.0003838634],"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":[0.00005821183,0.00001670986,0.0003585706,0.0005924348,0.00001499038,0.00001981171,0.00002465349,0.0001160142,0.0001127863,0.000403608,0.994611,0.003671181],"study_design_scores_gemma":[0.00009189611,0.00001512164,0.001692148,0.0002005914,0.00001667173,0.00005096272,0.00008163913,0.0003386398,0.0001637852,0.00109578,0.9962273,0.00002549812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006287006,0.00005559328,0.00009854112,0.00005761913,0.00002864419,0.00001031906,0.9960406,0.001608406,0.002037403],"genre_scores_gemma":[0.0002619248,0.0000724604,0.0004945809,0.0001115908,0.000009457285,0.00004252945,0.9972634,0.0004058268,0.001338162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6693249,"threshold_uncertainty_score":0.9547107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319683517735857,"score_gpt":0.2246084851214186,"score_spread":0.2014116499440601,"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."}}