{"id":"W6974516068","doi":"10.5885/45660ce-8b92339884c146d0","title":"Dissolved methane, carbon dioxide and limnological data from subarctic rivers, northern Québec, Canada","year":2024,"lang":"en","type":"dataset","venue":"Nordicana D","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Subarctic climate; Permafrost; Dissolved organic carbon; Carbon dioxide; Greenhouse gas; Water column; Methane; Carbon fibers","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004326658,0.001044703,0.001387936,0.0002741862,0.0001347905,0.0001281844,0.003194216,0.000676986,0.0008956948],"category_scores_gemma":[0.00122164,0.0009241583,0.0001117471,0.0005809925,0.0005398373,0.0001327627,0.003000044,0.002063797,0.002222989],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877613,"about_ca_system_score_gemma":0.007213058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996845,"about_ca_topic_score_gemma":0.9999784,"domain_scores_codex":[0.9939931,0.0004188078,0.0007088369,0.002451318,0.00141928,0.001008684],"domain_scores_gemma":[0.9934427,0.0008381291,0.0003822429,0.00445314,0.00009272079,0.0007910464],"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":[0.00009359686,0.00005365997,0.007839345,0.0001251216,0.0009937973,0.002297955,0.00001557097,0.000001338275,0.00008322985,3.6308e-7,0.9882363,0.0002596858],"study_design_scores_gemma":[0.0004686627,0.00005409179,0.01157395,0.0001637052,0.002175608,0.00002878594,0.00008933224,0.0001080468,0.00001073245,0.00003722752,0.9842634,0.001026454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03706774,0.008443043,1.970417e-7,0.001231097,0.001026668,0.0004515079,0.9515104,0.0001887253,0.00008062519],"genre_scores_gemma":[0.01219802,0.0005123104,0.00003233342,0.0003658057,0.0007496402,0.00004183473,0.9857371,0.0002140675,0.0001489342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03422666,"threshold_uncertainty_score":0.9993209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905697275608596,"score_gpt":0.256253314006324,"score_spread":0.227196341250238,"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."}}