{"id":"W6887126775","doi":"10.15468/dl.nghugd","title":"Occurrence Download","year":2016,"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); Reference data; 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":[0.0009746593,0.002070823,0.001578569,0.004969328,0.0009711194,0.002798886,0.002939885,0.002046891,0.1317612],"category_scores_gemma":[0.006229151,0.000913472,0.001281522,0.01028836,0.0004324577,0.002541428,0.002573265,0.002092315,0.1999708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169531,"about_ca_system_score_gemma":0.002445312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351645,"about_ca_topic_score_gemma":0.03673131,"domain_scores_codex":[0.9988946,0.0001593725,0.0001493836,0.0003873568,0.0002386135,0.0001706073],"domain_scores_gemma":[0.9976454,0.0006578144,0.0002223789,0.0006347488,0.0005809008,0.0002587051],"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":[0.00003032431,0.00001150698,0.0004274399,0.0005612272,0.00001666078,0.00001538681,0.00002401098,0.0001456921,0.00009110025,0.000363357,0.9967455,0.001567857],"study_design_scores_gemma":[0.00007357038,0.000008668564,0.001877767,0.0002079293,0.00001569478,0.00004285997,0.00007332033,0.0002119885,0.0001728143,0.0008267541,0.9964712,0.00001751153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004847741,0.00003742081,0.00004896622,0.00004144034,0.00001331499,0.00000566783,0.9987662,0.0004288437,0.000609683],"genre_scores_gemma":[0.0001619258,0.00004021668,0.0001915815,0.00004318279,0.000003429988,0.0000409858,0.9989406,0.0001314261,0.0004465781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8682388,"threshold_uncertainty_score":0.4407851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}