{"id":"W7134371521","doi":"","title":"Alaska Snapshot No. 1","year":2016,"lang":"en","type":"report","venue":"ScholarWorks - UA (University of Alaska System)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Snapshot (computer storage); Quarter (Canadian coin); Oil price; Oil production; Petroleum","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":["insufficient_payload"],"category_scores_codex":[0.001022522,0.000853874,0.0005089585,0.004053622,0.001647776,0.002844365,0.0009500649,0.0006817771,0.3745452],"category_scores_gemma":[0.004202789,0.0004813796,0.0002953632,0.00712336,0.0002171482,0.00225901,0.001796977,0.001019037,0.2796856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317494,"about_ca_system_score_gemma":0.003829106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05736533,"about_ca_topic_score_gemma":0.08473807,"domain_scores_codex":[0.9991373,0.00006611839,0.00008501267,0.0001350773,0.0004788545,0.0000976168],"domain_scores_gemma":[0.9968271,0.000205496,0.0001976986,0.0003985319,0.001976667,0.0003945078],"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":[0.00003390315,0.00002497715,0.00152614,0.0001473156,0.000003197218,0.00003821745,0.0001279123,0.00007157195,0.00007785335,0.001119305,0.974483,0.02234661],"study_design_scores_gemma":[0.000004005864,0.000009208187,0.004121631,0.0001397056,0.000003160253,0.00004101187,0.0002729621,0.00003522736,0.000162587,0.0003724097,0.9948288,0.00000943175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002515563,0.0009569732,0.0007979189,0.000880516,0.001558702,0.0002074179,0.5217839,0.00221148,0.4690876],"genre_scores_gemma":[0.007341451,0.002003185,0.002454668,0.0003026715,0.0003651051,0.0005207915,0.4275828,0.001074244,0.5583552],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6254548,"threshold_uncertainty_score":0.8921353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914978403475645,"score_gpt":0.2417922250491954,"score_spread":0.2126424410144389,"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."}}