{"id":"W6962166164","doi":"10.15468/dl.w2pn2j","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); Software; Statistical analysis","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":[0.0009939484,0.002079349,0.001560561,0.005133743,0.000879727,0.002505115,0.002907978,0.002055692,0.1294349],"category_scores_gemma":[0.005897149,0.0008626321,0.001186232,0.009968307,0.0004294886,0.002137854,0.002531852,0.001966448,0.1976503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593078,"about_ca_system_score_gemma":0.002373284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02150092,"about_ca_topic_score_gemma":0.03727614,"domain_scores_codex":[0.9989352,0.0001487228,0.0001430081,0.0003500536,0.0002445425,0.0001783942],"domain_scores_gemma":[0.9975803,0.0006020305,0.0002518438,0.000679483,0.0005884244,0.0002978667],"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":[0.00003128036,0.00001214725,0.0004152658,0.0005470466,0.00001762973,0.00001518616,0.00002104513,0.0001389269,0.0001100159,0.0003586181,0.9969228,0.001410149],"study_design_scores_gemma":[0.00008541546,0.000009105908,0.002085286,0.000197354,0.00001643662,0.00004245537,0.00006375019,0.0001630345,0.0001935448,0.0007646191,0.9963612,0.00001768892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004505593,0.00003111174,0.00003771704,0.00003334745,0.00001118121,0.000005229384,0.9989435,0.0003302021,0.0005625858],"genre_scores_gemma":[0.0001424171,0.0000313272,0.0001500434,0.00003531713,0.000003046759,0.00003158196,0.9991556,0.00009179396,0.0003588113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8705651,"threshold_uncertainty_score":0.4330028,"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."}}