{"id":"W4321602493","doi":"10.1177/14614448221149948","title":"Data sinks, carbon services: Waste, storage and energy cultures on Ireland’s peat bogs","year":2023,"lang":"en","type":"article","venue":"New Media & Society","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bog; Peat; Transformative learning; Work (physics); Capital (architecture); Metadata; Environmental science; Business; Natural resource economics; Engineering; Geography; Sociology; Economics; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002566563,0.0001594947,0.0001803651,0.00001478279,0.0003240741,0.0001179868,0.0005630821,0.0002373718,0.00005089051],"category_scores_gemma":[0.00004801018,0.00012553,0.00006240512,0.0003269379,0.000151037,0.000309306,0.000221334,0.0002109716,0.00001263351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007099055,"about_ca_system_score_gemma":0.0001556222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118336,"about_ca_topic_score_gemma":0.01635246,"domain_scores_codex":[0.9984094,0.00006332812,0.0001363643,0.0004030444,0.0005963578,0.0003915084],"domain_scores_gemma":[0.9991828,0.0001010674,0.00007749561,0.0003952456,0.00003145692,0.0002118937],"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":[0.00001272511,0.00001553801,0.00269617,0.00004053368,0.0000542375,0.00001263841,0.1768985,0.00002731863,0.0005768299,0.001463384,0.8120651,0.00613707],"study_design_scores_gemma":[0.0004964799,0.00002936369,0.007069879,0.00006846972,0.00003088728,7.398185e-7,0.04123472,0.0006079248,0.0001188813,0.001148169,0.9489481,0.000246338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974736,0.001436511,0.000004803151,0.006524246,0.001729505,0.0001205273,0.0002692845,0.0003329001,0.01484625],"genre_scores_gemma":[0.9556335,0.01479116,0.0002901761,0.005082226,0.006165395,0.00001027879,0.0008665374,0.000050798,0.01710988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1368831,"threshold_uncertainty_score":0.9954013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322329899389823,"score_gpt":0.2712764465926786,"score_spread":0.2480531475987804,"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."}}