{"id":"W6905977931","doi":"10.15468/dl.x1vvix","title":"Occurrence Download","year":2015,"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":[0.001080699,0.002021378,0.001631924,0.005699732,0.0009540683,0.002639942,0.00283857,0.001914261,0.1543065],"category_scores_gemma":[0.006282184,0.000922497,0.001228069,0.01166322,0.0004387058,0.002327581,0.002790426,0.001940217,0.2251587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698804,"about_ca_system_score_gemma":0.002675297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407317,"about_ca_topic_score_gemma":0.03939317,"domain_scores_codex":[0.9987784,0.0001667318,0.0001647488,0.000405661,0.0002785681,0.0002058054],"domain_scores_gemma":[0.9973956,0.0006393276,0.0002690478,0.0006980379,0.0006869471,0.0003108972],"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":[0.00002865507,0.00000962918,0.0003606321,0.0005161625,0.00001615059,0.00001217865,0.00002097163,0.0001101845,0.0001022701,0.0003667226,0.9970595,0.001396979],"study_design_scores_gemma":[0.00006794894,0.000007629499,0.00192686,0.0001969142,0.00001512734,0.00003168764,0.00006146899,0.0001145631,0.0001667957,0.000672176,0.9967229,0.00001597583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003778997,0.00002943911,0.00003722723,0.00003043801,0.00001045133,0.000004863142,0.9989411,0.0003066479,0.000601894],"genre_scores_gemma":[0.0001325384,0.00003302744,0.0001429093,0.00003878105,0.000003015012,0.00003139088,0.9991179,0.0001042187,0.0003962839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456935,"threshold_uncertainty_score":0.5162065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}