{"id":"W6887323296","doi":"10.15468/dl.yg6vxp","title":"Occurrence Download","year":2015,"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":[0.0009641259,0.00197837,0.001634375,0.005437013,0.0009347697,0.002605498,0.002922548,0.001980386,0.1407442],"category_scores_gemma":[0.00563716,0.0008791408,0.001194395,0.01084579,0.0004287834,0.002337939,0.002616721,0.001893383,0.2054676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165118,"about_ca_system_score_gemma":0.002487681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02631122,"about_ca_topic_score_gemma":0.04273963,"domain_scores_codex":[0.9989102,0.0001401399,0.0001393568,0.0003786753,0.0002494829,0.0001822628],"domain_scores_gemma":[0.9977351,0.0005926187,0.0002368024,0.0006009683,0.0005574905,0.0002769893],"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":[0.00002742631,0.00001017307,0.0004207926,0.00049068,0.00001665916,0.00001426207,0.00002350707,0.0001320752,0.0001014217,0.0004029653,0.9969679,0.001392178],"study_design_scores_gemma":[0.00006349276,0.000007379481,0.002079939,0.0001873305,0.00001530653,0.00003614363,0.00007100382,0.0001631445,0.0001704767,0.0007522736,0.9964364,0.00001708216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004398925,0.00003102045,0.00004329953,0.00003334378,0.00001113944,0.000004283442,0.9988595,0.0003654012,0.0006080041],"genre_scores_gemma":[0.0001512963,0.00003329592,0.0001537218,0.00003685853,0.000002940416,0.00002860407,0.9990451,0.0001168421,0.0004313553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8592558,"threshold_uncertainty_score":0.4708363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}