{"id":"W6912131180","doi":"10.5281/zenodo.15350094","title":"Dam Impoundment Database","year":2011,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Hydrology (agriculture); Dam removal; Computer database; Dam failure; National database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000715513,0.001882648,0.001346788,0.004241066,0.0006938891,0.001760667,0.002811123,0.001760636,0.03665812],"category_scores_gemma":[0.003706795,0.0005036041,0.001082736,0.007775355,0.0003043213,0.001409572,0.001597956,0.001892278,0.05316297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121224,"about_ca_system_score_gemma":0.001728887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02230791,"about_ca_topic_score_gemma":0.0427307,"domain_scores_codex":[0.9991423,0.0001180366,0.0001305087,0.0002644114,0.0002296332,0.000115046],"domain_scores_gemma":[0.9987908,0.0002138187,0.0001654767,0.0002856832,0.0004316267,0.0001126238],"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":[0.00005016306,0.00002158447,0.001254306,0.0005003967,0.00003880066,0.00003806884,0.00001801662,0.0009086605,0.0001213043,0.001027048,0.9927837,0.003238065],"study_design_scores_gemma":[0.0001084079,0.00001171583,0.004629485,0.000200566,0.00003317898,0.00007316936,0.00006846658,0.00142611,0.0003385502,0.00153752,0.9915397,0.00003323969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001801558,0.00006450768,0.000120506,0.00005055512,0.00001630629,0.000007465832,0.9986375,0.0002287736,0.0006941903],"genre_scores_gemma":[0.0005083657,0.00005777908,0.000295287,0.00002327535,0.000004839703,0.00003580796,0.9986323,0.00004136691,0.0004010734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03665812,"threshold_uncertainty_score":0.1226336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06500896201297746,"score_gpt":0.2728312460932239,"score_spread":0.2078222840802464,"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."}}