{"id":"W1802784309","doi":"10.22230/jem.2010v11n3a67","title":"Considerations for Rehabilitation of Naturally Disturbed Forests (MPB); Part 1 Watershed Hydrology","year":2011,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests","funders":"","keywords":"Reforestation; Watershed; Forest management; Environmental science; Afforestation; Understory; Hydrology (agriculture); Watershed management; Rehabilitation; Disturbance (geology); Forestry; Environmental resource management; Geography; Agroforestry; Computer science; Engineering","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":[0.0006365651,0.00008012981,0.0001949908,0.00007115148,0.00007417479,0.000008268264,0.00008437451,0.00004138118,0.0002778282],"category_scores_gemma":[0.00004783934,0.00006092499,0.00007187336,0.00004052608,0.00008168778,0.0001617362,0.00008013257,0.00004405839,0.000006259836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000406691,"about_ca_system_score_gemma":0.000003119917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004942612,"about_ca_topic_score_gemma":0.00178845,"domain_scores_codex":[0.9991292,0.00004847573,0.0004636516,0.0001200544,0.0001031602,0.0001354826],"domain_scores_gemma":[0.9993872,0.00008840184,0.0003393091,0.0001113541,0.00002561296,0.00004812878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001090524,0.001274701,0.2013632,0.001621041,0.001401081,0.0001327421,0.007147523,0.002476223,0.0006528897,0.5291688,0.2496969,0.003974438],"study_design_scores_gemma":[0.004377423,0.004117156,0.6503584,0.0001541229,0.000483001,0.00008732199,0.001070601,0.002173238,0.0003734028,0.2084862,0.1279422,0.0003770668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855957,0.00008965669,0.00386552,0.001133139,0.0008312699,0.001102195,0.000006246066,0.000009335001,0.007366957],"genre_scores_gemma":[0.9932423,0.00004343578,0.006215398,0.00009792081,0.00002519506,0.00003717788,0.000001922933,0.000005337063,0.0003313486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4489952,"threshold_uncertainty_score":0.3042023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394202298319748,"score_gpt":0.2142015601639305,"score_spread":0.200259537180733,"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."}}