{"id":"W6887142160","doi":"10.15468/dl.u8yau9","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); Range (aeronautics); Data set; Real world data","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":[0.0009100595,0.001913686,0.001608202,0.005583933,0.0009937533,0.002571296,0.002697419,0.001953238,0.1643584],"category_scores_gemma":[0.005621286,0.0008799562,0.001188553,0.01153809,0.0004358093,0.002213507,0.002592015,0.001860241,0.2175213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649056,"about_ca_system_score_gemma":0.002547221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02705943,"about_ca_topic_score_gemma":0.04373414,"domain_scores_codex":[0.9989379,0.0001300698,0.0001454108,0.0003606577,0.0002412237,0.0001847616],"domain_scores_gemma":[0.9976339,0.0006282083,0.0002312429,0.0005985508,0.0006268414,0.000281269],"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":[0.00003233007,0.00001063345,0.0004028652,0.0006171096,0.00001751913,0.00001600843,0.00002321897,0.0001228738,0.000128313,0.0003893678,0.996776,0.001463875],"study_design_scores_gemma":[0.00007144562,0.000007775984,0.002046656,0.0002009203,0.00001609199,0.00003702575,0.00006574031,0.0001268684,0.0001888413,0.0006880992,0.9965334,0.0000173159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003546321,0.00002643774,0.00003332963,0.00002784771,0.00001027558,0.000004170634,0.9990108,0.0002962001,0.0005554361],"genre_scores_gemma":[0.0001446453,0.00003403775,0.0001497977,0.00003737068,0.000003182156,0.00003164894,0.9990761,0.0001161939,0.000406904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8356416,"threshold_uncertainty_score":0.5498335,"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."}}