{"id":"W6961897317","doi":"10.15468/dl.libtnp","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; Set (abstract data type)","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":[0.0009625551,0.001868721,0.00161059,0.00553402,0.00096847,0.002584941,0.002762117,0.001880988,0.1568901],"category_scores_gemma":[0.005675645,0.0008877322,0.001169207,0.01135518,0.0004393612,0.002134009,0.002690259,0.001877723,0.2197904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535637,"about_ca_system_score_gemma":0.002403883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220201,"about_ca_topic_score_gemma":0.03585218,"domain_scores_codex":[0.9989083,0.0001396818,0.0001473444,0.0003712925,0.0002489415,0.0001844198],"domain_scores_gemma":[0.9976132,0.0006269955,0.0002411261,0.0006393732,0.0005923292,0.0002868896],"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":[0.00003168941,0.0000109321,0.0003934553,0.0005883002,0.00001781443,0.00001551123,0.00002549385,0.0001185614,0.0001394895,0.0004168332,0.9967359,0.001505974],"study_design_scores_gemma":[0.00006624228,0.000007681553,0.001963144,0.0001890442,0.00001584194,0.00003842876,0.0000680793,0.0001165063,0.0001990839,0.0007095416,0.9966096,0.00001685841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003963093,0.00002830529,0.00003926346,0.00002946458,0.00001046916,0.000004407348,0.9989457,0.0003252311,0.0005775663],"genre_scores_gemma":[0.0001468846,0.00003393357,0.0001570968,0.00003847932,0.000003104565,0.00003262842,0.9990596,0.0001262378,0.0004020822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.84311,"threshold_uncertainty_score":0.5248495,"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."}}