{"id":"W6887147975","doi":"10.15468/dl.uwhbus","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); Order (exchange)","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":[0.001026461,0.001909813,0.001591505,0.005389769,0.0009359884,0.002525732,0.002993691,0.002036948,0.1420888],"category_scores_gemma":[0.006221956,0.0008781871,0.001148352,0.01037803,0.0004431338,0.002277429,0.002549761,0.002004243,0.1989854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583203,"about_ca_system_score_gemma":0.002418547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059888,"about_ca_topic_score_gemma":0.03484369,"domain_scores_codex":[0.9989399,0.0001460651,0.0001438114,0.0003601307,0.0002354204,0.0001745977],"domain_scores_gemma":[0.9974325,0.000695775,0.0002626847,0.0006805158,0.0006248117,0.0003037436],"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":[0.00002807529,0.00001176861,0.0004019873,0.0005231963,0.00001569344,0.00001522486,0.00002202062,0.0001169828,0.0001053343,0.0003736784,0.9970668,0.001319319],"study_design_scores_gemma":[0.0000795193,0.000008470788,0.002055112,0.0002043769,0.00001530323,0.00004158893,0.00007039479,0.0001379477,0.0001809089,0.0007517292,0.9964373,0.0000173813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000456789,0.0000297295,0.00003981955,0.0000362605,0.00001164782,0.000005304596,0.9989311,0.0003072956,0.0005931992],"genre_scores_gemma":[0.0001531839,0.00003186271,0.0001572605,0.00003934351,0.000003359132,0.00003724038,0.9990663,0.0001056466,0.0004058298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8579112,"threshold_uncertainty_score":0.4753344,"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."}}