{"id":"W6887261224","doi":"10.15468/dl.vgetm9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Cyberloafing and Workplace Behavior","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000787094,0.0002010515,0.0002205369,0.00008569737,0.001841302,0.0002265255,0.0007385636,0.0003010402,0.1041972],"category_scores_gemma":[0.0002629268,0.0002365563,0.0001664969,0.0005087256,0.0003331989,0.0007487423,0.000361333,0.0004241852,0.07332776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009499167,"about_ca_system_score_gemma":0.0005109034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365142,"about_ca_topic_score_gemma":0.0005296261,"domain_scores_codex":[0.9979374,0.0002392343,0.0002929807,0.0002097441,0.0009394156,0.0003811711],"domain_scores_gemma":[0.9989444,0.00003819609,0.0002694464,0.0003797201,0.0001631398,0.0002050682],"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":[0.00002488732,0.00004007623,0.001733585,0.00002310903,0.00001028009,0.000002403247,0.0006077228,0.000003870906,2.746861e-9,4.895601e-7,0.9953775,0.002176036],"study_design_scores_gemma":[0.0001757932,0.00001924271,0.00005681503,0.000001078614,0.0000495421,8.481907e-7,0.002437398,4.269785e-9,1.011603e-7,5.940531e-7,0.9970054,0.0002531684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005402896,0.00001886838,3.533555e-7,0.0004468405,0.001255824,0.0003300803,0.9965836,0.0001397457,0.0006843979],"genre_scores_gemma":[0.00001080259,0.0001098315,4.536506e-7,0.0003598362,0.00000267142,0.000008664351,0.9995061,9.781685e-9,0.000001645653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03086939,"threshold_uncertainty_score":0.9994582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030474204530373,"score_gpt":0.2631097870850578,"score_spread":0.2428050450397541,"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."}}