{"id":"W6905860846","doi":"10.15468/dl.z5y4vh","title":"Occurrence Download","year":2023,"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); 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":[0.001102227,0.002043826,0.001653453,0.005481931,0.001037554,0.002685625,0.002948303,0.001937658,0.2042938],"category_scores_gemma":[0.0065235,0.001028885,0.001247002,0.01005934,0.0004851727,0.002384801,0.002889821,0.001996832,0.2514446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001832487,"about_ca_system_score_gemma":0.002720664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0283579,"about_ca_topic_score_gemma":0.04621206,"domain_scores_codex":[0.9990018,0.0001228617,0.000126985,0.0003320324,0.0002301242,0.0001863297],"domain_scores_gemma":[0.9973764,0.0007169715,0.0002351975,0.0006778556,0.0006838585,0.0003097045],"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":[0.00002583042,0.000008187704,0.0002910265,0.0005222,0.00001299985,0.00001401015,0.00002170168,0.00008820983,0.0001028719,0.000370857,0.9972824,0.001259624],"study_design_scores_gemma":[0.00006827984,0.000006201758,0.001654485,0.0002213141,0.00001370317,0.0000344771,0.0000586061,0.0001010925,0.0001761776,0.0007451534,0.9969036,0.00001697423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002437045,0.00001786771,0.00003545156,0.00002626606,0.00000897022,0.000005025933,0.9989294,0.0003438089,0.000608756],"genre_scores_gemma":[0.0001295414,0.00003028794,0.0001843681,0.00004422421,0.000002917802,0.000044302,0.9989499,0.000186031,0.0004284173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7957062,"threshold_uncertainty_score":0.6834309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}