{"id":"W6924608950","doi":"10.15468/dl.qmsbk4","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); Range (aeronautics); Alien; The Internet","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":[0.0009593382,0.001911725,0.001601727,0.005213531,0.00101105,0.00263891,0.002693636,0.002097699,0.1586941],"category_scores_gemma":[0.006068018,0.0008568761,0.001272031,0.009871793,0.0004400646,0.002352512,0.002555031,0.001933687,0.2361388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563666,"about_ca_system_score_gemma":0.002378956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210311,"about_ca_topic_score_gemma":0.03527786,"domain_scores_codex":[0.9989391,0.0001453051,0.0001332269,0.0003721787,0.0002312403,0.0001789594],"domain_scores_gemma":[0.9974246,0.0007441974,0.0002288385,0.0006673074,0.0006545328,0.0002805173],"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":[0.00002772844,0.0000113818,0.0003943693,0.0005428047,0.00001341226,0.00001516437,0.00002250393,0.000112435,0.0001050484,0.0003246076,0.9969546,0.001476116],"study_design_scores_gemma":[0.00006664727,0.000009361554,0.002036844,0.0002210285,0.00001495219,0.00003826468,0.00008298034,0.0001546905,0.0001798253,0.0007262001,0.9964511,0.00001805991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004532862,0.0000306805,0.00004026969,0.00004011874,0.00001309709,0.000005647894,0.998816,0.0003740888,0.0006347937],"genre_scores_gemma":[0.0001643784,0.00003811078,0.0001858503,0.00004739048,0.000004045749,0.00004405868,0.9988803,0.0001357798,0.0005000323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8413059,"threshold_uncertainty_score":0.5308847,"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."}}