{"id":"W3015272617","doi":"","title":"Raw Baseline Concentrations and Environmental Controls on Background CO 2 and CH 4 for Sites Across Canada","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Environmental science; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747689,0.0005014371,0.0003365762,0.001025366,0.001299653,0.0007696607,0.0007498644,0.0003993663,0.001817545],"category_scores_gemma":[0.0005860326,0.0002204394,0.0004514068,0.002671111,0.0004739986,0.0003332419,0.0004031932,0.0003753107,0.0003957315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01159111,"about_ca_system_score_gemma":0.009780744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866724,"about_ca_topic_score_gemma":0.9922203,"domain_scores_codex":[0.9994704,0.00003171502,0.00002160579,0.0001078313,0.0001901203,0.0001783465],"domain_scores_gemma":[0.9993846,0.00003215503,0.00004283171,0.00003196665,0.000458063,0.00005023362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001859781,0.0003402643,0.8951945,0.0002838131,0.0004341414,0.0004762446,0.001288827,0.01162961,0.02224814,0.0009677332,0.02173012,0.04354677],"study_design_scores_gemma":[0.00002021466,0.00003179146,0.9912087,0.000009326262,0.00003559401,0.0000312085,0.0006249432,0.001373522,0.002187146,0.00005926181,0.004400437,0.00001791137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366316,0.0003281127,0.001444796,0.0001053857,0.00003377283,0.00009196661,0.05426899,0.000322585,0.006772837],"genre_scores_gemma":[0.9609708,0.0001711964,0.00184253,0.00007173148,0.000005515151,0.00005128916,0.03251021,0.00005571843,0.004320957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0133276,"threshold_uncertainty_score":0.08409977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0079925959268078,"score_gpt":0.2198230249458728,"score_spread":0.211830429019065,"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."}}