{"id":"W6931967666","doi":"10.5683/sp3/nobfew","title":"Systematic map of ecological restoration knowledge in Canada","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Disturbance (geology); Restoration ecology; Ecosystem; Intervention (counseling); Outcome (game theory); Ecosystem services; Novel ecosystem; Ecosystem management","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":[],"consensus_categories":[],"category_scores_codex":[0.003575728,0.001319852,0.00225969,0.05948178,0.003057777,0.004248825,0.00226003,0.001124698,0.03926753],"category_scores_gemma":[0.03488082,0.0008548733,0.001568309,0.1026853,0.0009823134,0.001363918,0.003085895,0.001439703,0.005703546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03062848,"about_ca_system_score_gemma":0.1189591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9047952,"about_ca_topic_score_gemma":0.9536253,"domain_scores_codex":[0.9953266,0.0004032083,0.001164134,0.0007626387,0.001784115,0.0005592852],"domain_scores_gemma":[0.9613862,0.01278233,0.003097958,0.001370853,0.01959246,0.001770218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002354093,0.00002713316,0.005473522,0.05849503,0.0004142028,0.0001752842,0.001139687,0.0009147439,0.0004498608,0.004224486,0.8897046,0.03874601],"study_design_scores_gemma":[0.0001553683,0.00001794297,0.02396421,0.02327309,0.000461743,0.00008287115,0.0008014621,0.0003021582,0.0002628732,0.001101601,0.9494939,0.00008274132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004196508,0.001699727,0.00009813459,0.0001690283,0.00001927311,0.0001072144,0.9958566,0.00008285754,0.001547363],"genre_scores_gemma":[0.006676589,0.006303437,0.003572974,0.000272652,0.00002314295,0.001656558,0.9795722,0.00009016326,0.001832284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09520477,"threshold_uncertainty_score":0.2222262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790227896739036,"score_gpt":0.2538792302686889,"score_spread":0.2359769513012985,"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."}}