{"id":"W4412094696","doi":"10.1007/978-3-031-98056-5_1","title":"Introduction","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on green energy and technology","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006778082,0.0009245992,0.0005363094,0.00153717,0.001251146,0.003619905,0.001520273,0.00154176,0.6453773],"category_scores_gemma":[0.002219901,0.0002800184,0.0005015695,0.00122706,0.0004574927,0.002013066,0.002378288,0.00150406,0.555245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133623,"about_ca_system_score_gemma":0.002206356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002667743,"about_ca_topic_score_gemma":0.004047345,"domain_scores_codex":[0.9992667,0.00006542577,0.0000229282,0.0001420806,0.000416373,0.00008655142],"domain_scores_gemma":[0.9991375,0.00009993079,0.00002737033,0.0001098031,0.0004335516,0.000191828],"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":[0.00003095434,0.00003456877,0.00009802733,0.000143287,0.00000221981,0.0000475987,0.00007395216,0.0001075728,0.0004985954,0.01776895,0.8266531,0.1545411],"study_design_scores_gemma":[0.000002124258,0.000006148129,0.00006696826,0.0000426862,8.288852e-7,0.00002387408,0.00002320941,0.00001813954,0.00008430664,0.001985127,0.9977444,0.000002133189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004460704,0.002284966,0.004757792,0.003071623,0.005764823,0.0001755175,0.003809113,0.00131034,0.9783798],"genre_scores_gemma":[0.001225212,0.001242297,0.001468305,0.001073734,0.0006366565,0.00009364441,0.002682265,0.0002725979,0.9913052],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6453773,"threshold_uncertainty_score":0.5058262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005000576360198027,"score_gpt":0.1977957168081433,"score_spread":0.1927951404479453,"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."}}