{"id":"W4408378163","doi":"10.1111/rec.70028","title":"Dimensions of effective volunteer restoration techniques in North America","year":2025,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Volunteer; Geography; Environmental resource management; Environmental science; Ecology; Biology","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":[0.000339342,0.00006576539,0.0001638328,0.0002855161,0.0001627311,0.00001057455,0.00009661126,0.0001146376,0.00003048387],"category_scores_gemma":[0.0005471209,0.000063768,0.00002990656,0.0007726714,0.0001729999,0.000179643,0.00002700988,0.0001163262,0.000009755778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141409,"about_ca_system_score_gemma":0.0002158226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003643399,"about_ca_topic_score_gemma":0.1248371,"domain_scores_codex":[0.999001,0.0003478778,0.0002258409,0.000155012,0.0001074127,0.0001628322],"domain_scores_gemma":[0.9993645,0.0002396667,0.0001018208,0.0001201461,0.0001473052,0.00002653691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006361804,0.0001316232,0.9579367,0.00002535058,0.00001675793,0.000003473186,0.007363195,0.0002006475,0.005783643,0.01504555,0.002306666,0.0111228],"study_design_scores_gemma":[0.0002211954,0.0001727673,0.9137427,0.00002957145,0.00001275295,1.624039e-7,0.001271572,0.0002647577,0.002005171,0.0009603346,0.08119889,0.0001201622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885186,0.00006336905,0.002202236,0.0007203713,0.000419956,0.0006554645,0.000003354321,0.00007991924,0.007336712],"genre_scores_gemma":[0.9986615,0.00005818145,0.0005081876,0.0001205546,0.00005357847,0.0001140593,0.00001099716,0.000004454358,0.000468475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211937,"threshold_uncertainty_score":0.8911324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098999182061733,"score_gpt":0.3135517258364007,"score_spread":0.3025617340157834,"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."}}