{"id":"W4282965508","doi":"10.1111/rec.13749","title":"Quantifying restoration success via natural recovery in forested areas following pipeline construction","year":2022,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; Vanguard College","funders":"","keywords":"Species richness; Species evenness; Vegetation (pathology); Habitat; Environmental science; Species diversity; Clearcutting; Ecology; Restoration ecology; Forest restoration; Geography; Forestry; Ecosystem; Forest ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009985032,0.0001566003,0.0002370421,0.0002134105,0.0004077767,0.00003945449,0.0001989777,0.0001016562,0.0005403614],"category_scores_gemma":[0.0002214744,0.0001829034,0.00006848289,0.00068449,0.00005963432,0.0007804529,0.0001635177,0.0003347928,0.0001358041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722492,"about_ca_system_score_gemma":0.00004695439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146709,"about_ca_topic_score_gemma":0.02903301,"domain_scores_codex":[0.9976944,0.0007201066,0.0004846243,0.0004242472,0.0003616478,0.0003149805],"domain_scores_gemma":[0.999201,0.0002000127,0.000284468,0.0002481396,0.00001341365,0.00005294357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001801414,0.0001169307,0.9240443,0.0000166106,0.0000123821,0.00007710851,0.0002666423,0.04503248,0.01866206,0.0001654786,0.00146861,0.009957267],"study_design_scores_gemma":[0.0014482,0.0004124249,0.7097258,0.00001603354,0.00002148018,0.0001531051,0.0002990464,0.2822926,0.0006279599,0.0005011143,0.004057329,0.0004448717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938285,0.00004797866,0.001056143,0.0003780692,0.003539199,0.0005994891,0.000004737602,0.000089431,0.0004564553],"genre_scores_gemma":[0.9987099,0.000002870865,0.0005318658,0.0001494211,0.00006994126,0.0001891784,0.0001504305,0.00002179945,0.0001746014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2372601,"threshold_uncertainty_score":0.9886846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218103300510503,"score_gpt":0.2484489068455676,"score_spread":0.2362678738404626,"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."}}