{"id":"W7002097572","doi":"","title":"Marine photochemical production of carbon monoxide","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Data Analysis with R","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carbon monoxide; Production (economics); Carbon fibers; Atmosphere (unit); Carbon dioxide","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001660804,0.0007477297,0.0003303262,0.001315299,0.0007634,0.0005105016,0.0005710535,0.0003285733,0.008283082],"category_scores_gemma":[0.0004845361,0.0002503466,0.0004399086,0.002453196,0.0002095915,0.0001930474,0.0003902242,0.0004612571,0.002461713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004059029,"about_ca_system_score_gemma":0.003242302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6347055,"about_ca_topic_score_gemma":0.636238,"domain_scores_codex":[0.999645,0.000009583945,0.000007929299,0.00008671525,0.000206427,0.00004432552],"domain_scores_gemma":[0.9997256,0.00002322728,0.00002368479,0.00002225976,0.0001792317,0.00002585232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001586157,0.0002346808,0.3928088,0.002257617,0.0006396016,0.0006475595,0.001078595,0.01053304,0.2563938,0.003323528,0.09130633,0.2391903],"study_design_scores_gemma":[0.00003195691,0.0001011895,0.7478091,0.00008143854,0.0001283682,0.0001994682,0.0003156791,0.006120197,0.1729707,0.0004980895,0.07166412,0.00007961615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5852376,0.003009813,0.008706074,0.0004195399,0.0002311093,0.0003258518,0.2751064,0.002421019,0.1245425],"genre_scores_gemma":[0.8954716,0.001555921,0.004689265,0.0001282754,0.00001899824,0.0002531008,0.04405509,0.0003530523,0.05347458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6347055,"threshold_uncertainty_score":0.7348916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002237455766641881,"score_gpt":0.135280892304316,"score_spread":0.1330434365376741,"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."}}