{"id":"W2410715802","doi":"10.1016/j.ijggc.2016.04.015","title":"Analysis and assessment of methanol production by integration of carbon capture and photocatalytic hydrogen production","year":2016,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen production; Photocatalysis; Production (economics); Methanol; Hydrogen; Environmental science; Carbon fibers; Waste management; Process engineering; Materials science; Chemistry; Engineering; Catalysis; Economics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003388757,0.0004082073,0.0003601034,0.0005184853,0.000225124,0.0004201174,0.0003426145,0.0006144335,0.0004379164],"category_scores_gemma":[0.0003350929,0.0001633971,0.0003997883,0.0004264279,0.0002165397,0.0003122566,0.0002301446,0.0002913706,0.0001427202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005796792,"about_ca_system_score_gemma":0.0003623698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004052094,"about_ca_topic_score_gemma":0.005822493,"domain_scores_codex":[0.9996738,0.00002818284,0.00001227969,0.00005484691,0.0001906762,0.00004018974],"domain_scores_gemma":[0.9998462,0.00004725245,0.00001910029,0.00001356144,0.00006444364,0.000009356471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004738394,0.00008128693,0.005831964,0.00008315843,0.00003511733,0.00006195034,0.00001892009,0.001755969,0.9836773,0.00007880659,0.0000388917,0.00786289],"study_design_scores_gemma":[0.00001021721,0.0003045761,0.01133463,0.000002943599,0.00003206509,0.00003032297,0.00002718123,0.009949937,0.9779438,0.00002784498,0.000330249,0.000006299928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931731,0.0004632024,0.004850257,0.00002550003,0.00001039389,0.00004485097,0.0002734224,0.00005188178,0.001107402],"genre_scores_gemma":[0.9972224,0.0001877266,0.001801384,0.000007170892,0.000002276942,0.00001695607,0.0001696423,0.000007304309,0.0005851639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004052094,"threshold_uncertainty_score":0.008057058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006394243863501245,"score_gpt":0.2337024449319845,"score_spread":0.2273082010684833,"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."}}