{"id":"W6969560208","doi":"10.5683/sp3/hdexqw","title":"Total mercury, methylmercury, nitrogen, carbon, hydrogen, and sulfur concentrations in a degrading lithalsa field near Kangiqsualujjuaq (Nunavik, Canada)","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermokarst; Permafrost; Methylmercury; Sulfur; Mercury (programming language); Total organic carbon; Organic matter; Hydrology (agriculture)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007600892,0.001105202,0.001442169,0.000563412,0.0003484623,0.0002906755,0.0008700496,0.000900454,0.00006851678],"category_scores_gemma":[0.001351983,0.001229569,0.0002207226,0.001294113,0.0002689159,0.0001842027,0.0004149961,0.001476577,0.000003312835],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302163,"about_ca_system_score_gemma":0.006425153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969361,"about_ca_topic_score_gemma":0.9954939,"domain_scores_codex":[0.9941563,0.0006289476,0.001275467,0.001386964,0.001192862,0.001359448],"domain_scores_gemma":[0.99612,0.0008945261,0.0005066126,0.001642738,0.000257683,0.0005784336],"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":[0.00006885903,0.00009774577,0.002789725,0.0002017734,0.0003859595,0.0005972993,0.0001532741,0.00005269641,0.0001671639,0.0001011558,0.9951686,0.0002157521],"study_design_scores_gemma":[0.001026831,0.0001020304,0.0008402503,0.0004670737,0.0007906154,0.0001571602,0.0002491508,0.0007801658,0.00207323,0.0001614278,0.9920089,0.001343136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02549653,0.004860398,0.000001162196,0.0006168759,0.0002866414,0.001118636,0.966875,0.0001088959,0.0006358834],"genre_scores_gemma":[0.009980841,0.0004183954,0.00009174438,0.0007639259,0.0002367423,0.0003147357,0.9880393,0.0001054381,0.00004888138],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02116432,"threshold_uncertainty_score":0.9992075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166377515462006,"score_gpt":0.2606075795826692,"score_spread":0.2489438044280491,"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."}}