{"id":"W2217662143","doi":"","title":"Сравнительный опыт водоснабжения в Канаде","year":2013,"lang":"ru","type":"article","venue":"Современные проблемы науки и образования","topic":"Water Resources and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water supply; Business; Control (management); Water consumption; Water resource management; Environmental planning; Environmental science; Environmental engineering; Economics; Management","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008657791,0.001463246,0.001138084,0.0003285515,0.0009025872,0.001199636,0.002526852,0.0006246456,0.2028587],"category_scores_gemma":[0.00009645962,0.001354646,0.0006213627,0.001068831,0.000936084,0.001601491,0.002833901,0.001026905,0.1353986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007968414,"about_ca_system_score_gemma":0.00006447886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009972932,"about_ca_topic_score_gemma":0.0006605993,"domain_scores_codex":[0.9906834,0.000390292,0.001559558,0.002338921,0.00205176,0.002976037],"domain_scores_gemma":[0.9951726,0.0001680122,0.000609939,0.002547359,0.00007902472,0.001423034],"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":[0.0001047824,0.001656886,0.01609102,0.0004323957,0.0005257293,0.0002621198,0.003908813,0.001472197,0.0219621,0.001535719,0.6735834,0.2784648],"study_design_scores_gemma":[0.00220171,0.0006429116,0.1851533,0.0002130666,0.000315031,0.00005373231,0.001573271,0.003415373,0.003694512,0.003079068,0.7973071,0.002350898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5554599,0.0024591,0.0009515668,0.01573489,0.004390056,0.005560189,0.0002263356,0.0008693031,0.4143487],"genre_scores_gemma":[0.9030144,0.0007995357,0.001500171,0.004347324,0.001124897,0.0004336792,0.0001130992,0.000265693,0.08840117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3475545,"threshold_uncertainty_score":0.9998372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005917581336534447,"score_gpt":0.1673738126322197,"score_spread":0.1614562312956852,"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."}}