{"id":"W6906038301","doi":"10.15468/dl.nwr96g","title":"Occurrence Download","year":2021,"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":[0.0008713267,0.001815711,0.001552913,0.005484802,0.001005116,0.002868524,0.002506829,0.001897368,0.1786104],"category_scores_gemma":[0.006242179,0.0008981622,0.001275107,0.01147221,0.0003991332,0.00248741,0.002527101,0.001949372,0.2613899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581518,"about_ca_system_score_gemma":0.002512075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139793,"about_ca_topic_score_gemma":0.03553006,"domain_scores_codex":[0.998882,0.0001327804,0.0001485323,0.0003898516,0.0002557574,0.0001910967],"domain_scores_gemma":[0.9973863,0.0007015424,0.0002501534,0.0006590663,0.0007061143,0.0002968127],"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":[0.00003050287,0.000009666846,0.0004480252,0.0005493012,0.00001434241,0.00001453599,0.00002239712,0.0001187252,0.0001121142,0.0003805018,0.9964634,0.001836496],"study_design_scores_gemma":[0.00005560884,0.000007219769,0.001855905,0.0001900797,0.00001262104,0.0000332521,0.0000703329,0.0001310633,0.0001611863,0.0006860822,0.9967803,0.00001627916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003929651,0.00002878926,0.00003959943,0.0000354373,0.00001403076,0.00000437582,0.9987296,0.000353933,0.0007548291],"genre_scores_gemma":[0.0001552485,0.00004101935,0.0001923581,0.00004748944,0.000004559441,0.0000360177,0.9987236,0.0001516776,0.00064805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8213896,"threshold_uncertainty_score":0.5975114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}