{"id":"W7135032837","doi":"10.1353/vcr.2025.a985003","title":"Coal-Heaving and Logistical Labour","year":2025,"lang":"en","type":"article","venue":"Victorian review","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Scholarship; Product (mathematics); Coal mining; Coal dust; Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001097639,0.00009119973,0.0001655878,0.00001009176,0.00008464544,0.000003284905,0.0001020913,0.00002820493,0.001743392],"category_scores_gemma":[0.00002589289,0.00007122297,0.00003600957,0.0001165519,0.0007902092,0.0000418838,0.0001498118,0.0000792134,0.0004957134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266768,"about_ca_system_score_gemma":0.000006401178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004203379,"about_ca_topic_score_gemma":0.000006302071,"domain_scores_codex":[0.9993634,0.00003978262,0.0001340402,0.0002110783,0.0001210626,0.0001306382],"domain_scores_gemma":[0.9997149,0.00003265947,0.00003247217,0.0001439988,0.000001152549,0.00007484639],"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":[0.00004609764,0.0006014252,0.1623164,0.005372318,0.0001168247,0.0001464557,0.0005880865,0.00004230382,0.003591975,0.08854762,0.4216368,0.3169937],"study_design_scores_gemma":[0.00005555049,0.00001369766,0.03039452,0.0003519704,0.00002016551,0.000005386661,0.00001122114,0.000004328174,0.000005923818,0.0003101531,0.9687455,0.00008156685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02619226,0.4228601,0.008438393,0.02211465,0.002226437,0.001578397,0.00002862042,0.000235047,0.5163261],"genre_scores_gemma":[0.7593166,0.1606961,0.002411434,0.03015144,0.0002072466,0.00006939633,0.00001113553,0.00002952934,0.04710723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7331243,"threshold_uncertainty_score":0.9991692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007187432886143327,"score_gpt":0.2368904417136845,"score_spread":0.2297030088275412,"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."}}