{"id":"W4312474072","doi":"10.1002/2688-8319.12187","title":"Towards effective ecological restoration: Investigating knowledge co‐production on fish–habitat relationships with Aquatic Habitat Toronto","year":2022,"lang":"en","type":"article","venue":"Ecological Solutions and Evidence","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Toronto Baptist Seminary and Bible College; Toronto Public Health; Fisheries and Oceans Canada; Carleton University; Environment and Climate Change Canada; Toronto and Region Conservation Authority","funders":"","keywords":"General partnership; Agency (philosophy); Restoration ecology; Knowledge sharing; Business; Notice; Environmental resource management; Ecology; Knowledge management; Political science; Sociology; Computer science; Biology; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006946614,0.0003018383,0.0004999075,0.002267045,0.00700237,0.007655757,0.001509554,0.0007122774,0.006541393],"category_scores_gemma":[0.03392477,0.0003811271,0.0004974692,0.004320778,0.006034557,0.003814541,0.009306311,0.001506607,0.0003645251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04394237,"about_ca_system_score_gemma":0.03699457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5963255,"about_ca_topic_score_gemma":0.7139009,"domain_scores_codex":[0.993672,0.003000596,0.0003079686,0.0006580249,0.001604195,0.0007571747],"domain_scores_gemma":[0.9662053,0.01684877,0.005764206,0.001753387,0.00589723,0.003531112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003207805,0.0003455413,0.6375861,0.0007059927,0.0002146577,0.0007040054,0.2857467,0.001190535,0.0008196848,0.01673579,0.004593593,0.0510366],"study_design_scores_gemma":[0.00001803276,0.000096129,0.6234967,0.0005012907,0.0001474337,0.000094722,0.3579341,0.001864861,0.0004448378,0.003585576,0.01178161,0.00003476863],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693289,0.0003242359,0.0009144749,0.002409098,0.00001635377,0.0002454609,0.0002160965,0.00001069314,0.02653463],"genre_scores_gemma":[0.9971982,0.0002183682,0.0008093949,0.0001077311,0.00000339493,0.0001400386,0.0000862103,0.000006098177,0.001430481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9929976,"threshold_uncertainty_score":0.8121036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07319387399999545,"score_gpt":0.2900817647202278,"score_spread":0.2168878907202323,"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."}}