{"id":"W3144135093","doi":"10.22541/au.160193273.34398880/v1","title":"Turkey Lakes Watershed, Ontario, Canada: 40 years of interdisciplinary whole-ecosystem research","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Simon Fraser University; Fisheries and Oceans Canada; Environment and Climate Change Canada; Natural Resources Canada","funders":"","keywords":"Watershed; Geography; Aquatic ecosystem; Climate change; Ecosystem; Temperate rainforest; Ecology","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":[0.003534952,0.0009573423,0.001122926,0.006921852,0.007167504,0.004054107,0.002538241,0.000785822,0.007143269],"category_scores_gemma":[0.002778937,0.0006376568,0.0007716655,0.02858755,0.001959887,0.002095116,0.003856527,0.001317679,0.001189574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08877099,"about_ca_system_score_gemma":0.1747448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936394,"about_ca_topic_score_gemma":0.9978001,"domain_scores_codex":[0.9968573,0.0001741483,0.0001825332,0.0005847894,0.001497646,0.0007035977],"domain_scores_gemma":[0.9927284,0.0002141493,0.0004911397,0.0002898316,0.005205417,0.001071209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001702535,0.0004217319,0.3710084,0.00522187,0.0006583135,0.0006645016,0.01279039,0.001166348,0.001696523,0.005326719,0.2064112,0.394464],"study_design_scores_gemma":[0.00002251352,0.00004752632,0.7617971,0.002195677,0.0002217213,0.0001026217,0.007730968,0.0004746864,0.0002165107,0.0006633915,0.2264634,0.00006393902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3375195,0.1631008,0.008736878,0.01912139,0.001341647,0.003783871,0.3163384,0.001268526,0.1487891],"genre_scores_gemma":[0.6394054,0.1094745,0.03651579,0.007891364,0.0005284419,0.003373464,0.1417312,0.0006867921,0.06039305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08877099,"threshold_uncertainty_score":0.6440816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693366145180957,"score_gpt":0.2771054193430432,"score_spread":0.2401717578912337,"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."}}