{"id":"W4411100067","doi":"10.1007/s12685-025-00362-z","title":"Martin Melosi: Water in North American environmental history","year":2025,"lang":"en","type":"article","venue":"Water History","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ludwig-Maximilians-Universität München","keywords":"Environmental history; Environmental ethics; History; Engineering; Forensic engineering; Economic history; Philosophy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001825861,0.0001561773,0.0002289116,0.0003142517,0.0001200176,0.000006260815,0.0002156453,0.00002089681,0.008212436],"category_scores_gemma":[0.000002989213,0.0001034295,0.00006122481,0.00001356667,0.001544958,0.0001826026,0.00005256614,0.0001725124,0.001002094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00282546,"about_ca_system_score_gemma":0.000053246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009866545,"about_ca_topic_score_gemma":0.006853423,"domain_scores_codex":[0.9988045,0.00004179539,0.0002610456,0.0003021479,0.000196124,0.0003943762],"domain_scores_gemma":[0.9996381,0.000006843071,0.00003159282,0.0002381448,0.000009345567,0.00007596753],"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":[0.00007908416,0.0003185481,0.008763754,0.00005822513,0.00002574254,0.0001063462,0.3614173,0.000004215614,0.01829521,0.001012355,0.6029495,0.006969734],"study_design_scores_gemma":[0.0002666483,0.00005919651,0.001793418,0.00001021254,0.00001409126,7.723868e-7,0.001326171,0.000008766883,0.0004676895,0.00001433177,0.995876,0.0001626668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607884,0.00113585,0.000001760085,0.0007903005,0.002526457,0.0001259583,0.000002630197,0.00005665878,0.134572],"genre_scores_gemma":[0.7461882,0.00001697772,0.000008991984,0.002689481,0.0001562969,0.00002464609,0.00002733287,0.00001073526,0.2508774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3929266,"threshold_uncertainty_score":0.9997758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491986024677291,"score_gpt":0.1727342779147877,"score_spread":0.1578144176680148,"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."}}