{"id":"W6925131588","doi":"10.15468/dl.seq774","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001433928,0.0002087574,0.000200389,0.00006084459,0.0002859899,0.0004498642,0.001123756,0.0001573638,0.0002787676],"category_scores_gemma":[0.00004463736,0.0002323536,0.0001490211,0.0006536588,0.00006415402,0.001153473,0.000804195,0.0002136649,0.09792659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726325,"about_ca_system_score_gemma":0.0003404404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000146839,"about_ca_topic_score_gemma":0.000004927486,"domain_scores_codex":[0.9986477,0.00004938435,0.0003110894,0.0002938506,0.0004936333,0.0002043248],"domain_scores_gemma":[0.9982747,0.00003621552,0.0002438375,0.0008420166,0.0004622205,0.0001409458],"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":[0.000001915199,0.00003951857,0.00002769571,0.00004040845,0.00001672148,0.000001360111,0.00002009164,0.00006001387,4.100381e-8,0.00002060355,0.995658,0.00411357],"study_design_scores_gemma":[0.0001300537,0.000009700135,0.00005474651,0.000001569116,0.00001220504,0.000005046682,0.00001297351,0.0000096659,0.000002171897,0.00004549674,0.9994847,0.0002316848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000174562,0.0000213296,0.005033996,0.0005406674,0.0004136299,0.0001778166,0.9935691,0.000101426,0.0001245375],"genre_scores_gemma":[0.000008236482,0.00002952158,0.00005857424,0.0008154073,0.000001957585,0.000006193563,0.99908,7.037901e-9,7.928772e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09764783,"threshold_uncertainty_score":0.9475106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560247706710553,"score_gpt":0.2281928146564912,"score_spread":0.2125903375893857,"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."}}