{"id":"W6924873390","doi":"10.15468/dl.zydam8","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001093124,0.002308247,0.001823594,0.005090061,0.001042484,0.002817679,0.003224062,0.002076745,0.1519232],"category_scores_gemma":[0.005610438,0.0009721271,0.001244653,0.009130084,0.0004901044,0.002190445,0.002710401,0.002176072,0.2321812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952589,"about_ca_system_score_gemma":0.002635462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294122,"about_ca_topic_score_gemma":0.03980856,"domain_scores_codex":[0.9990622,0.0001218532,0.0001072174,0.0003250058,0.0002214382,0.0001623405],"domain_scores_gemma":[0.9979511,0.0005659481,0.0001765057,0.0005244215,0.000503564,0.0002784388],"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":[0.00003547839,0.00001212603,0.0003224578,0.0005601624,0.0000161962,0.000017147,0.00002006817,0.0001262896,0.0001271376,0.0004089791,0.9968988,0.001455208],"study_design_scores_gemma":[0.00008778099,0.000007662205,0.001554414,0.000194787,0.00001491072,0.00004072956,0.00005217539,0.0001712773,0.0002272347,0.0008905215,0.9967412,0.00001727477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003417365,0.00002808494,0.00004313618,0.00003104095,0.000009040196,0.000005788635,0.9987983,0.0004334902,0.0006170332],"genre_scores_gemma":[0.0001265533,0.00003446986,0.0001838551,0.00004071909,0.000002387217,0.00003742182,0.999038,0.0001479903,0.0003885945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480768,"threshold_uncertainty_score":0.5082338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624919985154033,"score_gpt":0.2399358751886792,"score_spread":0.2236866753371388,"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."}}