{"id":"W6924798317","doi":"10.15468/dl.rdaxx5","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); R package; 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":[0.0008969452,0.002048374,0.001581739,0.004572722,0.0009662179,0.002364729,0.002908693,0.002169706,0.113427],"category_scores_gemma":[0.005222263,0.0008202271,0.001213746,0.009091916,0.0004302367,0.002087933,0.002269874,0.002024619,0.1680212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610708,"about_ca_system_score_gemma":0.002148437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879091,"about_ca_topic_score_gemma":0.03112541,"domain_scores_codex":[0.9990581,0.0001295234,0.0001217528,0.0003244584,0.0002159991,0.0001502068],"domain_scores_gemma":[0.9981219,0.0005212394,0.0001730046,0.0004974567,0.0004632912,0.0002230853],"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":[0.00003386722,0.00001481498,0.0004250514,0.0005664768,0.00001718801,0.00001670791,0.00002091105,0.0001712513,0.000132274,0.0004098187,0.9966177,0.001573846],"study_design_scores_gemma":[0.00009997516,0.0000101988,0.001959965,0.0001894846,0.0000163695,0.00004730588,0.00007300352,0.0002530354,0.0002327198,0.0009061626,0.9961941,0.0000177157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006275455,0.00003961286,0.00005118928,0.00004158564,0.00001216264,0.000006158606,0.9987493,0.0004119386,0.0006252573],"genre_scores_gemma":[0.0001875335,0.00003740072,0.0001995842,0.0000448247,0.000003072294,0.00003923751,0.9990244,0.0001027559,0.0003611651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.886573,"threshold_uncertainty_score":0.3794512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723284982810174,"score_gpt":0.2276852754107917,"score_spread":0.21045242558269,"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."}}