{"id":"W2138199174","doi":"10.1007/s00267-004-0114-x","title":"No Net Loss of Fish Habitat: A Review and Analysis of Habitat Compensation in Canada","year":2005,"lang":"en","type":"review","venue":"Environmental Management","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Habitat; Riparian zone; Authorization; Compensation (psychology); Fishery; Habitat destruction; Environmental resource management; Critical habitat; Fish habitat; Environmental science; Geography; Ecology; Endangered species; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003850913,0.0005009925,0.001836813,0.0002735075,0.00004144236,0.000009022307,0.0004530839,0.00007914893,0.003699507],"category_scores_gemma":[0.000007054753,0.0004935188,0.000307421,0.0007187369,0.0002622168,0.0001541504,0.0009557808,0.0001815357,0.0001031904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950102,"about_ca_system_score_gemma":0.00002141972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.058293,"about_ca_topic_score_gemma":0.4095711,"domain_scores_codex":[0.9966531,0.000197674,0.001376062,0.0007142256,0.000719887,0.0003390549],"domain_scores_gemma":[0.9983193,0.00007712957,0.0008222869,0.0006621862,0.000001530309,0.0001175993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001562349,0.0006391746,0.04397501,0.02710392,0.002717444,0.00006757494,0.0000557719,0.0009438496,0.000002706047,0.0001125682,0.01913381,0.9052325],"study_design_scores_gemma":[0.0002634531,0.00003749715,0.08556733,0.00215973,0.005664062,0.000001773118,0.00004390423,0.0001045908,5.381602e-7,0.000003318183,0.9057433,0.0004105014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008698375,0.9880953,0.00002051925,0.0002494066,0.00007809767,0.002645651,0.0003711102,0.00001034852,0.0076597],"genre_scores_gemma":[0.0009227543,0.9948071,0.0005262343,0.001731422,0.000006228421,0.0001654169,0.0005965394,0.00003614901,0.001208156],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9048221,"threshold_uncertainty_score":0.9997516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135185078833332,"score_gpt":0.2322869827311375,"score_spread":0.2187684748478043,"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."}}