{"id":"W6961763492","doi":"10.15468/dl.ovisu8","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":[0.0009692047,0.002021343,0.001669303,0.005329583,0.0009344631,0.002652415,0.002994054,0.001973191,0.1414577],"category_scores_gemma":[0.005711413,0.0009033284,0.001201652,0.01094614,0.000427349,0.002349834,0.002649609,0.001973585,0.2105187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589781,"about_ca_system_score_gemma":0.002338075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167644,"about_ca_topic_score_gemma":0.0354925,"domain_scores_codex":[0.9989346,0.0001398582,0.0001395555,0.0003686414,0.0002397624,0.0001776496],"domain_scores_gemma":[0.9977374,0.0005859287,0.0002357727,0.0006175564,0.0005464009,0.0002770036],"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":[0.00002920107,0.00001083706,0.0004319901,0.0005291851,0.00001700951,0.00001539044,0.00002404041,0.0001369643,0.0001100373,0.000401997,0.996837,0.001456373],"study_design_scores_gemma":[0.00006829364,0.000007592975,0.001938163,0.0001922857,0.00001563016,0.00003968241,0.00006853656,0.0001596008,0.0001804407,0.000780668,0.996532,0.00001718003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004469905,0.00003161519,0.00004397149,0.00003298973,0.00001141042,0.000004406197,0.9988725,0.0003663762,0.000592127],"genre_scores_gemma":[0.0001483729,0.0000349979,0.0001626763,0.0000354685,0.000003095597,0.00003184165,0.9990352,0.0001225564,0.0004258407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8585423,"threshold_uncertainty_score":0.4732233,"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."}}