{"id":"W6905941276","doi":"10.15468/dl.mr3sre","title":"Occurrence Download","year":2018,"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); Key (lock)","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":[0.000913203,0.00191709,0.001626047,0.005338909,0.001078322,0.002870914,0.002851651,0.001964234,0.1709986],"category_scores_gemma":[0.006114725,0.0009524457,0.001313928,0.01059991,0.0004626005,0.002477288,0.002853462,0.002191355,0.256907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643715,"about_ca_system_score_gemma":0.002535402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044966,"about_ca_topic_score_gemma":0.03448816,"domain_scores_codex":[0.9989579,0.0001247782,0.0001364951,0.0003672789,0.0002278871,0.0001856332],"domain_scores_gemma":[0.9975919,0.0006138782,0.0002234541,0.00066213,0.000627926,0.0002807742],"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":[0.00003029314,0.00001058481,0.0004309526,0.000588077,0.0000155961,0.00001561318,0.0000267889,0.0001304678,0.0001198722,0.0004126862,0.996365,0.001854003],"study_design_scores_gemma":[0.00005785886,0.000006798231,0.001631416,0.0001871628,0.00001245084,0.00003371261,0.00007227517,0.0001366003,0.0001486388,0.0006754774,0.9970228,0.00001479437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004080807,0.00003010526,0.00004857392,0.0000371283,0.00001550002,0.00000537216,0.998697,0.000433127,0.0006923843],"genre_scores_gemma":[0.00014154,0.000037737,0.0002127316,0.00004228549,0.000004000351,0.00004084481,0.9988604,0.000160723,0.0004996926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290014,"threshold_uncertainty_score":0.5720474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}