{"id":"W6943608551","doi":"10.15468/dl.qv634e","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); Puffinus; Range (aeronautics); Data set","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":[0.0009446245,0.001947146,0.00155121,0.004617736,0.0009420392,0.002378843,0.002745442,0.001975711,0.1543818],"category_scores_gemma":[0.005604979,0.00089275,0.001155008,0.009415431,0.0004292258,0.002099807,0.00247414,0.001949694,0.2120321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573647,"about_ca_system_score_gemma":0.002280812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251103,"about_ca_topic_score_gemma":0.03511399,"domain_scores_codex":[0.9990442,0.0001291977,0.0001166943,0.0003319395,0.00021282,0.0001650411],"domain_scores_gemma":[0.9977953,0.0006206566,0.0002092822,0.000581127,0.0005278402,0.0002658038],"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":[0.00002957206,0.00001106703,0.0003790078,0.0004855751,0.00001434767,0.0000141435,0.00002304212,0.0001297966,0.0001168838,0.0003763081,0.9970489,0.001371367],"study_design_scores_gemma":[0.00008167477,0.000008707805,0.002044147,0.0001868495,0.00001488895,0.00003835755,0.0000754084,0.0001728222,0.000204121,0.0007687114,0.9963865,0.00001778277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004487835,0.00002476159,0.00004369162,0.0000340467,0.0000113171,0.000004882035,0.9988921,0.0003744798,0.0005697529],"genre_scores_gemma":[0.000159734,0.00002955362,0.0001786433,0.00003991744,0.000003031019,0.00003900334,0.9989954,0.0001419757,0.000412789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456182,"threshold_uncertainty_score":0.5164584,"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."}}