{"id":"W4403827870","doi":"10.1002/cnl2.180","title":"Inside Back Cover Image: Carbon Neutralization, Volume 3, Issue 6, November 2024","year":2024,"lang":"en","type":"paratext","venue":"Carbon Neutralization","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cover (algebra); Neutralization; Volume (thermodynamics); Image (mathematics); Carbon fibers; Environmental science; Materials science; Computer science; Computer vision; Engineering; Composite material; Physics; Virology; Medicine; Mechanical engineering; Thermodynamics","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":["insufficient_payload"],"category_scores_codex":[0.0003355692,0.0009803659,0.000444627,0.001158722,0.001009752,0.00334996,0.0008607907,0.002262823,0.7514379],"category_scores_gemma":[0.001154989,0.000338756,0.0005092538,0.000570422,0.0005214946,0.001725218,0.0007983107,0.001840668,0.5151159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009196961,"about_ca_system_score_gemma":0.0006619378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009450993,"about_ca_topic_score_gemma":0.003087168,"domain_scores_codex":[0.9994817,0.00002188975,0.00001194861,0.00006361931,0.0003526096,0.00006828819],"domain_scores_gemma":[0.9992641,0.0001098745,0.0000561624,0.00007531109,0.000287901,0.0002067652],"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":[0.00004964337,0.00004438213,0.00006589467,0.0001034788,0.00000254899,0.0000862543,0.000008655494,0.00004162025,0.001841943,0.0007797318,0.9635624,0.03341343],"study_design_scores_gemma":[0.00001590112,0.00003296671,0.0003737078,0.00005017277,0.000002468827,0.0001133134,0.00002253533,0.0002021878,0.002260897,0.0003348001,0.9965857,0.000005278648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001055496,0.001429077,0.001216704,0.00482911,0.02200149,0.0001812781,0.001539074,0.002314711,0.965433],"genre_scores_gemma":[0.003662687,0.0006789669,0.000450004,0.0009840458,0.002553927,0.00002705274,0.0006899146,0.0003758433,0.9905776],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2485621,"threshold_uncertainty_score":0.3545436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751641155336805,"score_gpt":0.2935102844968436,"score_spread":0.2759938729434755,"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."}}