{"id":"W89083111","doi":"","title":"Water flow between Ohau Channel and Lake Rotoiti following implementation of a diversion wall.","year":2009,"lang":"en","type":"article","venue":"Research Commons (University of Waikato)","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Applied Research Laboratories; Global Lake Ecological Observatory Network; University of Waikato","keywords":"Channel (broadcasting); Flow (mathematics); Hydrology (agriculture); Water diversion; Geology; Environmental science; Geotechnical engineering; Water resource management; Computer science; Mechanics; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002032131,0.0001047138,0.0001088523,0.0003747293,0.001200994,0.0005807475,0.0003415908,0.0004112112,0.001651823],"category_scores_gemma":[0.0009314527,0.0001030602,0.0001318575,0.0006202727,0.0008728174,0.0004731574,0.0009288962,0.0003538175,0.0001118596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329266,"about_ca_system_score_gemma":0.002185086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2097506,"about_ca_topic_score_gemma":0.4095001,"domain_scores_codex":[0.9998719,0.00002148999,0.000005509599,0.00002293583,0.00001787674,0.0000603042],"domain_scores_gemma":[0.9996953,0.00005284235,0.00009789018,0.00001180905,0.00006437636,0.00007790126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00104781,0.0002219581,0.8907267,0.0001502169,0.0000482049,0.006101946,0.04901537,0.001104223,0.006062026,0.002180936,0.003419764,0.03992087],"study_design_scores_gemma":[0.00001709181,0.0001674082,0.9776818,0.00002615637,0.00001932365,0.0001753389,0.01568769,0.0005534927,0.0003831156,0.0001729088,0.00510113,0.00001452065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970004,0.00004114839,0.00004139742,0.000145203,0.00001270867,0.00001375937,0.0001040373,0.000005359863,0.002635856],"genre_scores_gemma":[0.9976521,0.00004499335,0.0001586307,0.00002821972,0.000006510068,0.00002176002,0.0001274028,0.000002324364,0.001958037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2097506,"threshold_uncertainty_score":0.4170594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428693733083495,"score_gpt":0.3308115227452515,"score_spread":0.2665245854144165,"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."}}