{"id":"W6905911399","doi":"10.15468/dl.xj7pz0","title":"Occurrence Download","year":2019,"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); Listing (finance); Range (aeronautics)","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":[0.0009342471,0.001921123,0.001538443,0.005005034,0.001042036,0.002986422,0.002814041,0.001841868,0.2132283],"category_scores_gemma":[0.00674063,0.0009699345,0.001218338,0.01042152,0.0004069392,0.002750009,0.002948082,0.001909889,0.2905086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751228,"about_ca_system_score_gemma":0.002516126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458587,"about_ca_topic_score_gemma":0.03907001,"domain_scores_codex":[0.9989706,0.0001242086,0.0001371944,0.0003495686,0.0002309866,0.0001874179],"domain_scores_gemma":[0.9975566,0.0006241045,0.0002086014,0.0006236276,0.000726215,0.0002608256],"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":[0.00002397615,0.000007163895,0.0003010395,0.000496307,0.00001180122,0.00001232894,0.00002096887,0.00009073011,0.00008065195,0.0003927134,0.997044,0.001518313],"study_design_scores_gemma":[0.00005055248,0.000005518511,0.001256961,0.0001982291,0.00001075996,0.00002811593,0.00005907946,0.0001067562,0.0001347977,0.0007524565,0.9973832,0.00001365631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000252775,0.00002316066,0.00004093086,0.00003227271,0.00001164878,0.000004769887,0.9986564,0.0004014005,0.0008041991],"genre_scores_gemma":[0.0001428036,0.00004067249,0.0002067002,0.00005175059,0.000003906327,0.00004122448,0.998706,0.0001985452,0.0006085029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7867717,"threshold_uncertainty_score":0.7133197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}