{"id":"W2112239906","doi":"10.2166/ws.2007.003","title":"The hydrologic cycle: a complex history with continuing pedagogical implications","year":2007,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Socioeconomics of Resources and Conservation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Scope (computer science); Water cycle; Epistemology; Focus (optics); Order (exchange); Sociology; History; Engineering ethics; Earth science; Computer science; Geology; Engineering; Ecology; Philosophy","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":[0.001446844,0.0001634664,0.0002352213,0.0005049487,0.0006625452,0.0001223914,0.001130583,0.0001502694,0.000143319],"category_scores_gemma":[0.00002335691,0.00009392113,0.00005736881,0.000256482,0.002083532,0.0002859338,0.0002615671,0.0002412325,0.0004572264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025056,"about_ca_system_score_gemma":0.00001859694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009139126,"about_ca_topic_score_gemma":0.00007452961,"domain_scores_codex":[0.9980224,0.000006319137,0.0004706391,0.0005850029,0.00005372347,0.0008619161],"domain_scores_gemma":[0.9990474,0.000032382,0.0001339861,0.0006324991,0.00007324274,0.00008050584],"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":[0.00004614457,0.00007088373,0.6955929,0.000004528547,0.00002831639,0.00001059549,0.00567212,0.0000423712,0.01278563,0.2782442,0.0003931394,0.007109125],"study_design_scores_gemma":[0.000619301,0.0002364548,0.05939251,0.00000507833,0.000008501569,0.00008601012,0.00100109,0.001001127,0.01460654,0.09530876,0.8272661,0.0004685118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688521,0.0003079156,0.002361557,0.02361578,0.0001724619,0.0002252453,0.000004988893,0.0001760052,0.004283921],"genre_scores_gemma":[0.9973425,0.00002788244,0.0009697388,0.0006039581,0.00003747622,0.00005699075,0.00000943127,0.00001431122,0.0009377265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.826873,"threshold_uncertainty_score":0.7676859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04404257274492934,"score_gpt":0.2399879112524735,"score_spread":0.1959453385075442,"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."}}