{"id":"W6905831909","doi":"10.15468/dl.pxzlbv","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); 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":[0.001057634,0.002038301,0.001585196,0.005367747,0.0008904218,0.00260159,0.002864484,0.001959641,0.1413921],"category_scores_gemma":[0.005869396,0.0008839665,0.001183305,0.01011591,0.0004373198,0.002299056,0.002730581,0.002012387,0.2121262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582517,"about_ca_system_score_gemma":0.002421839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023216,"about_ca_topic_score_gemma":0.03521202,"domain_scores_codex":[0.9989159,0.0001476005,0.0001475919,0.0003564612,0.0002473725,0.0001851694],"domain_scores_gemma":[0.9975129,0.0006163578,0.0002646052,0.0006834791,0.0006070997,0.0003156384],"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":[0.00003189758,0.00001198026,0.0004077779,0.0005544783,0.00001645127,0.00001501059,0.00002230506,0.0001197725,0.0001161869,0.0003891554,0.9968658,0.0014491],"study_design_scores_gemma":[0.00007444577,0.00000811416,0.00186771,0.0001993369,0.00001440365,0.00003772487,0.00006226218,0.0001310154,0.0001862812,0.0007579519,0.9966441,0.00001661114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004145443,0.00002783873,0.00003818772,0.000032482,0.00001089919,0.00000527406,0.9989067,0.0003299076,0.0006071935],"genre_scores_gemma":[0.0001381866,0.000031323,0.0001598669,0.00003829388,0.00000327452,0.00003434586,0.9990858,0.0001115892,0.0003972983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8586079,"threshold_uncertainty_score":0.4730039,"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."}}