{"id":"W7044041555","doi":"","title":"Using Harmonization to Examine Freshwater Mussel Species at Risk: A Sydenham River Watershed Case Study","year":2023,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Biodiversity; Freshwater ecosystem; Habitat; Mussel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002873301,0.0002985513,0.0002884263,0.002151274,0.002995712,0.001333661,0.001271708,0.000935388,0.001545641],"category_scores_gemma":[0.00550084,0.0002120849,0.0004394241,0.004310748,0.001602312,0.001254135,0.002880789,0.0009193885,0.0001135476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006549067,"about_ca_system_score_gemma":0.004789163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3402478,"about_ca_topic_score_gemma":0.5731478,"domain_scores_codex":[0.9978021,0.001068403,0.0001084121,0.0002475198,0.0003966318,0.0003769085],"domain_scores_gemma":[0.9968073,0.001168355,0.0006848829,0.0002209945,0.0007705969,0.0003478512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008246945,0.0003298308,0.9163654,0.0001113312,0.00008832177,0.007738705,0.03100983,0.002448321,0.0006955505,0.00449426,0.003594812,0.03304099],"study_design_scores_gemma":[0.00003688927,0.0003423993,0.7423666,0.0002570981,0.0001175729,0.00236752,0.214695,0.01474874,0.0009822913,0.004813081,0.0192078,0.00006494051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908952,0.0001644798,0.0009983858,0.001311092,0.000005820548,0.0001011279,0.000353321,0.00001046187,0.006160271],"genre_scores_gemma":[0.9947079,0.000230731,0.002942609,0.0002555109,0.000007950141,0.00010151,0.0003257704,0.000008466756,0.001419452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6597522,"threshold_uncertainty_score":0.6765345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576262595093251,"score_gpt":0.2583981910801836,"score_spread":0.2126355651292511,"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."}}