{"id":"W6961729374","doi":"10.15468/dl.nufuw2","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); 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":[0.0009185878,0.001904228,0.001608896,0.005426665,0.0009741565,0.002494579,0.002725489,0.001986505,0.1737087],"category_scores_gemma":[0.005758767,0.0008866916,0.00118888,0.01127147,0.0004384448,0.002163493,0.002595027,0.001866858,0.221924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602898,"about_ca_system_score_gemma":0.002523848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695159,"about_ca_topic_score_gemma":0.04157059,"domain_scores_codex":[0.9989991,0.0001229659,0.0001312658,0.0003369648,0.0002267184,0.0001830835],"domain_scores_gemma":[0.9976077,0.0006504244,0.0002268959,0.000598486,0.0006188031,0.0002976392],"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":[0.00003284819,0.00001018322,0.0003701612,0.0006101419,0.00001580698,0.00001655982,0.00002320707,0.0001230481,0.0001335345,0.0003888186,0.9968818,0.001393889],"study_design_scores_gemma":[0.00007532582,0.000007700325,0.001983817,0.000204833,0.00001517831,0.00003686862,0.00006858036,0.0001237745,0.0001884248,0.0007000519,0.9965776,0.00001783942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003411954,0.00002349654,0.00003364077,0.00002819523,0.000009727102,0.000004346717,0.9989826,0.0003091035,0.0005748248],"genre_scores_gemma":[0.0001489739,0.00003265722,0.000150804,0.0000398608,0.000003139202,0.00003448024,0.9990463,0.0001314936,0.0004122934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8262913,"threshold_uncertainty_score":0.5811135,"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."}}