{"id":"W6887261876","doi":"10.15468/dl.wamc3m","title":"Occurrence Download","year":2017,"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); Cover (algebra)","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":[0.0009952508,0.002127313,0.001664874,0.005275215,0.001068144,0.002769409,0.003167833,0.002212906,0.1346547],"category_scores_gemma":[0.005691074,0.0008924455,0.001252708,0.01018911,0.0004696019,0.002517269,0.00286716,0.002235532,0.2040737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689491,"about_ca_system_score_gemma":0.002640001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363671,"about_ca_topic_score_gemma":0.0437608,"domain_scores_codex":[0.9988917,0.0001438725,0.0001357499,0.0003822629,0.0002597932,0.0001867026],"domain_scores_gemma":[0.9975942,0.0006199893,0.0002278642,0.0006644759,0.0005996883,0.0002937549],"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":[0.00002724304,0.00001180857,0.0003791086,0.0004721658,0.0000152106,0.00001637988,0.00002352478,0.0001193306,0.0001148713,0.0004305083,0.9971282,0.001261633],"study_design_scores_gemma":[0.00006805124,0.000007394677,0.001758878,0.0001692737,0.00001404136,0.00004070712,0.0000718556,0.0001524317,0.0001917271,0.0008381792,0.9966692,0.00001815093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004768868,0.00002939648,0.00005249788,0.00003887788,0.00001301929,0.000005439259,0.9986892,0.0004359842,0.0006878394],"genre_scores_gemma":[0.0001413315,0.00002934289,0.0001787661,0.00003701035,0.000002939282,0.0000338785,0.9990444,0.0001314349,0.000400961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8653453,"threshold_uncertainty_score":0.4504648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}