{"id":"W7123396734","doi":"10.25925/20250801","title":"Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2024; obspack_co2_1_GLOBALVIEWplus_v11.0_2026-01-12","year":2025,"lang":"","type":"dataset","venue":"Global Monitoring Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; EnGlobe (Canada)","funders":"","keywords":"Greenhouse gas; Carbon dioxide; Carbon dioxide in Earth's atmosphere; Atmosphere (unit); Period (music); Product (mathematics); Carbon dioxide equivalent; Atmospheric composition","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.005554768,0.004554939,0.00508546,0.0002695634,0.002181348,0.0009837891,0.01434412,0.003062796,0.0001148317],"category_scores_gemma":[0.007193435,0.004539883,0.0009722835,0.01233806,0.002375916,0.001740172,0.008039285,0.003377753,0.0002530791],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007759423,"about_ca_system_score_gemma":0.01398032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011854,"about_ca_topic_score_gemma":0.0009531859,"domain_scores_codex":[0.9772435,0.002824578,0.005448425,0.006156827,0.004418353,0.003908319],"domain_scores_gemma":[0.9665921,0.001933852,0.005801249,0.01853622,0.0059046,0.001232009],"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":[0.002146614,0.002210126,0.03027324,0.006168723,0.005838885,0.0001656481,0.0002049216,0.002979922,0.002576567,0.00007887463,0.9455397,0.001816821],"study_design_scores_gemma":[0.005980338,0.0004555148,0.01575492,0.004965406,0.008417711,0.00001245189,0.002876904,0.008246327,0.0005905909,0.00001473413,0.9490181,0.003667006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002685136,0.1049271,0.0003193095,0.0001807011,0.03558548,0.006708513,0.8489805,0.0004887901,0.0001244487],"genre_scores_gemma":[0.008988258,0.01195989,0.01510398,0.0002604857,0.008318434,0.001610815,0.9526879,0.0006967976,0.0003734024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1037074,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369000211032157,"score_gpt":0.3167689930486902,"score_spread":0.2830789909383686,"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."}}