{"id":"W6962152957","doi":"10.15468/dl.qotmpt","title":"Occurrence Download","year":2016,"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; 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":[0.0009456555,0.002069167,0.001589764,0.0052623,0.0009975563,0.002727231,0.003050756,0.002121787,0.1543956],"category_scores_gemma":[0.006305739,0.0009384862,0.00123524,0.0100506,0.0004531244,0.002604561,0.002822963,0.002123757,0.2229781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751163,"about_ca_system_score_gemma":0.002387198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02473348,"about_ca_topic_score_gemma":0.03940716,"domain_scores_codex":[0.9989339,0.0001329051,0.0001361189,0.0003581255,0.0002605416,0.000178451],"domain_scores_gemma":[0.9975177,0.0006660313,0.0002275495,0.0006686575,0.0006346079,0.0002853503],"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":[0.00002791103,0.00001197981,0.0004132196,0.0004914485,0.00001418194,0.00001653221,0.0000267531,0.0001287244,0.0001057533,0.0003878628,0.9968948,0.001480796],"study_design_scores_gemma":[0.00007250081,0.000007799434,0.001942225,0.000199109,0.00001402292,0.00004487588,0.00008988765,0.0001841916,0.0002025265,0.0008008746,0.9964234,0.00001853404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004813708,0.00002946689,0.00005301067,0.00004057076,0.00001257334,0.000005536532,0.9986059,0.0004980317,0.0007069181],"genre_scores_gemma":[0.0001677726,0.00003367451,0.0002104442,0.00003978178,0.000003200721,0.00003931313,0.9988636,0.0001676944,0.0004745997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456044,"threshold_uncertainty_score":0.5165048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}