{"id":"W6906063172","doi":"10.15468/dl.sqqgqe","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); 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":[0.000992285,0.002016758,0.001692803,0.005164428,0.0009216839,0.002653828,0.002924691,0.002113889,0.1451708],"category_scores_gemma":[0.006365675,0.0008659314,0.00123962,0.01035371,0.0004314692,0.002244174,0.002508752,0.001976253,0.2022452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514609,"about_ca_system_score_gemma":0.002336351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028304,"about_ca_topic_score_gemma":0.03257783,"domain_scores_codex":[0.9989598,0.0001457721,0.0001327535,0.0003604614,0.0002292388,0.000171922],"domain_scores_gemma":[0.9976343,0.0006782378,0.0002264151,0.0005985211,0.0005960296,0.0002664852],"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":[0.00002969658,0.00001105522,0.0003973854,0.0006294475,0.00001926503,0.00001471254,0.00002184101,0.0001440675,0.0001018395,0.0003648163,0.9967854,0.001480504],"study_design_scores_gemma":[0.0000812783,0.000009137802,0.001937713,0.0002380955,0.00001822417,0.00003757097,0.00006785936,0.0001720851,0.0001757357,0.000841275,0.9964033,0.0000177804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003906805,0.00003592486,0.00003993305,0.00003503601,0.00001164248,0.000004837463,0.998969,0.0003401265,0.0005245098],"genre_scores_gemma":[0.0001496931,0.00003716453,0.0001602799,0.00004063869,0.000003419334,0.00003605893,0.9990929,0.0001118499,0.0003679192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8548293,"threshold_uncertainty_score":0.4856446,"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."}}