{"id":"W6887131445","doi":"10.15468/dl.pbs2f6","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); Set (abstract data type); 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":[0.001029772,0.001924726,0.00162682,0.00492139,0.0009721595,0.002597661,0.002825344,0.002059975,0.1499841],"category_scores_gemma":[0.005838001,0.0009688995,0.001172765,0.01056205,0.0004418734,0.00223281,0.002437723,0.002062509,0.2059144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663123,"about_ca_system_score_gemma":0.002338364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214046,"about_ca_topic_score_gemma":0.03493491,"domain_scores_codex":[0.9989564,0.0001385631,0.0001388856,0.0003602109,0.0002374704,0.0001684693],"domain_scores_gemma":[0.9975949,0.0006883469,0.0002322917,0.0006332078,0.0005797385,0.0002715506],"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":[0.00002961702,0.0000119131,0.0003763527,0.0005391545,0.0000160308,0.00001447245,0.00002438887,0.000137946,0.0001263558,0.0004482532,0.9969072,0.001368375],"study_design_scores_gemma":[0.00007432226,0.000007448684,0.001840603,0.0001797254,0.00001455494,0.00003419311,0.0000705241,0.000146297,0.0001916517,0.0007930346,0.9966307,0.00001692007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003918375,0.0000239634,0.00004096917,0.00003082283,0.00001049844,0.00000449452,0.9989724,0.000298417,0.000579206],"genre_scores_gemma":[0.00014644,0.00003022589,0.0001824025,0.0000368968,0.000002856469,0.00003612178,0.9990366,0.0001249587,0.0004034821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8500159,"threshold_uncertainty_score":0.5017467,"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."}}