{"id":"W2794182719","doi":"10.1002/ghg.1756","title":"2017: time for a reality check","year":2018,"lang":"en","type":"article","venue":"Greenhouse Gases Science and Technology","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Reality check; Business; Economics; Commerce; History","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"],"consensus_categories":[],"category_scores_codex":[0.0003282502,0.0001436302,0.0001862729,0.0005507787,0.0001081732,0.00003640891,0.0005268712,0.0001978523,0.00001005391],"category_scores_gemma":[0.000532768,0.0001322173,0.0000228563,0.001244613,0.002987419,0.00017176,0.0001827687,0.0001234759,0.00005108182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007025836,"about_ca_system_score_gemma":0.00005335237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001324535,"about_ca_topic_score_gemma":0.00006813746,"domain_scores_codex":[0.9988791,0.000002409277,0.0001487954,0.0003457422,0.0001583164,0.0004656706],"domain_scores_gemma":[0.9991013,0.00003189963,0.00002922019,0.0005553317,0.000227079,0.00005515124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002583832,0.00004330466,0.001482265,0.00008219163,0.00004062544,0.00002997615,0.0001522685,0.00002052595,0.7884857,0.03000866,0.06544898,0.1141797],"study_design_scores_gemma":[0.0009457146,0.0008607185,0.002406862,0.00006115925,0.00004971473,0.0004735024,0.0003676336,0.03159147,0.8431102,0.04082276,0.07840723,0.000903011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854594,0.0005197573,0.002100935,0.002191809,0.000231268,0.0004045213,0.00002760584,0.005912826,0.003151865],"genre_scores_gemma":[0.9964689,0.00005869328,0.003193693,0.00006497858,0.00005785927,0.00006214571,8.855684e-7,0.00001881341,0.00007401406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1132766,"threshold_uncertainty_score":0.9997259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738084770012222,"score_gpt":0.2463245257242675,"score_spread":0.2289436780241453,"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."}}