{"id":"W360914024","doi":"","title":"Refining Advertisements of the Canadian Tar Sands","year":2012,"lang":"en","type":"article","venue":"Seattle journal for social justice","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refining (metallurgy); Oil sands; Environmental science; Advertising; Business; Archaeology; Chemistry; Geography; Asphalt","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":[],"consensus_categories":[],"category_scores_codex":[0.0002192135,0.00007423036,0.00009016033,0.00001650962,0.001122594,0.000004429277,0.0001944684,0.00004759812,0.0005860149],"category_scores_gemma":[0.00002730731,0.00005266592,0.0001139003,0.00008766568,0.0006397676,0.0001333596,0.00005863815,0.000144397,0.00005408334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008981151,"about_ca_system_score_gemma":0.00004307349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006035178,"about_ca_topic_score_gemma":0.00636878,"domain_scores_codex":[0.999158,0.0000378117,0.0001417099,0.00006797246,0.0002869777,0.0003074883],"domain_scores_gemma":[0.999582,0.00002653211,0.0001347922,0.00006036778,0.000005816332,0.0001904711],"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":[0.0001843801,0.0005200339,0.3580244,0.0001195785,0.0002283786,0.000007872057,0.02946894,0.001490684,0.01547542,0.001856978,0.5454907,0.0471326],"study_design_scores_gemma":[0.000374847,0.00005577837,0.2948422,0.0000162883,0.0002221056,0.00003301051,0.00275674,0.00002181921,0.0002451421,0.0001050557,0.7011582,0.0001687453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945557,0.0005372236,0.0003897541,0.002609533,0.005067532,0.0002434453,0.00007554428,0.0000123477,0.09650896],"genre_scores_gemma":[0.9934181,0.00001027253,0.0003869608,0.0008268325,0.0004105719,0.000003774765,0.000001673508,0.00001137428,0.004930461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1556675,"threshold_uncertainty_score":0.9123424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002060971912917,"score_gpt":0.2596543979588942,"score_spread":0.239633788239765,"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."}}