{"id":"W6905596748","doi":"10.15468/dl.jzfzcz","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009427651,0.002062175,0.001601952,0.005308871,0.000999375,0.00256359,0.00264701,0.002004276,0.1686978],"category_scores_gemma":[0.006266051,0.0009088693,0.001218446,0.01043606,0.0004548868,0.002134702,0.002551645,0.001804925,0.2225174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502106,"about_ca_system_score_gemma":0.002318148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079521,"about_ca_topic_score_gemma":0.03248725,"domain_scores_codex":[0.9989384,0.0001458495,0.0001374284,0.0003792621,0.0002199556,0.0001791263],"domain_scores_gemma":[0.9974753,0.0007558226,0.0002456511,0.0006212785,0.0006256931,0.0002762077],"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":[0.00003400843,0.00001172577,0.0004190693,0.0006225016,0.0000153853,0.00001550153,0.00002338861,0.0001353137,0.0001264802,0.0003555808,0.9966964,0.001544687],"study_design_scores_gemma":[0.00007985465,0.00001084693,0.001891362,0.0002063514,0.00001626642,0.00003718955,0.00007111705,0.0001515793,0.0001891172,0.0007664756,0.9965606,0.00001905569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004490228,0.00002886672,0.00003754217,0.00003297784,0.00001213052,0.000005009314,0.9988818,0.0003599446,0.0005969909],"genre_scores_gemma":[0.0001694359,0.00003768736,0.000192347,0.00004681335,0.000003776589,0.00004369418,0.9988965,0.0001486852,0.0004610967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313022,"threshold_uncertainty_score":0.5643505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}