{"id":"W6939463536","doi":"10.6084/m9.figshare.28395338.v1","title":"Soil CO<sub>2</sub> and CH<sub>4</sub> effluxes in powerline rights-of-way and their adjacent forests","year":2025,"lang":"en","type":"dataset","venue":"OPAL (Open@LaTrobe) (La Trobe University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microclimate; Vegetation (pathology); Soil water; Hydrology (agriculture); Soil carbon; Taiga; Ecosystem; Cycling","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":[0.0001005078,0.0002186319,0.0001888844,0.0003886055,0.0005109887,0.0004507227,0.0002217889,0.0001551989,0.0005133205],"category_scores_gemma":[0.0001964037,0.0001328459,0.0001625675,0.0006157714,0.0005186598,0.0002744262,0.000238416,0.0001628828,0.00008306173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002394427,"about_ca_system_score_gemma":0.0007159721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5658429,"about_ca_topic_score_gemma":0.810804,"domain_scores_codex":[0.9999071,0.00000621074,0.000004359953,0.0000287488,0.00001851859,0.00003503739],"domain_scores_gemma":[0.9997883,0.00001745509,0.00006398503,0.00001137131,0.00005519333,0.00006361261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003199562,0.00004217649,0.9916776,0.00001283443,0.00004243785,0.000135519,0.0004313784,0.0002567011,0.004708871,0.00003293139,0.00006491248,0.002274603],"study_design_scores_gemma":[0.000001262122,0.000008286494,0.9994368,7.673256e-7,0.000003578372,0.00001747952,0.0002453471,0.00009132802,0.0001333714,0.000004823288,0.00005600138,9.522086e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9996537,0.00002130229,0.00001587394,0.000002438659,3.119618e-7,0.000001788217,0.0001457104,0.000001068022,0.0001577844],"genre_scores_gemma":[0.9994854,0.00002301235,0.00004066121,0.00000362888,5.425924e-7,0.00000236984,0.0002892677,7.453008e-7,0.0001542807],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5658429,"threshold_uncertainty_score":0.8734278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009717937951617045,"score_gpt":0.2255466568926807,"score_spread":0.2158287189410636,"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."}}