{"id":"W3193987068","doi":"","title":"Development of a monitoring program to track recovery of freshwater mussel populations in the Sydenham River, Ontario, Canada","year":2002,"lang":"en","type":"article","venue":"","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mussel; Fishery; Geography; Environmental science; Ecology; Biology","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":[0.001015894,0.000329026,0.0002529417,0.001086565,0.002623727,0.0007342653,0.001545159,0.0003375484,0.0009905145],"category_scores_gemma":[0.002120636,0.000330885,0.0002208187,0.001008019,0.0005731603,0.0004940772,0.0007921439,0.0004246656,0.0002245214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02068755,"about_ca_system_score_gemma":0.0494067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990639,"about_ca_topic_score_gemma":0.9969748,"domain_scores_codex":[0.9991364,0.000094578,0.00003952239,0.0001320026,0.0003802101,0.0002173528],"domain_scores_gemma":[0.9969067,0.00009438494,0.0003257959,0.00008057227,0.002025192,0.000567491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002945859,0.0005041878,0.8615485,0.000208716,0.00006446947,0.0002546476,0.005441216,0.00200041,0.01102733,0.0004205366,0.008854204,0.1093814],"study_design_scores_gemma":[0.0000374673,0.0002548416,0.9876783,0.00005228389,0.00002197179,0.00004066882,0.002239097,0.002261047,0.001140595,0.00003882193,0.006215978,0.00001895801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827157,0.0003140799,0.002790706,0.000870197,0.00003017309,0.001690809,0.002181967,0.00017063,0.009235646],"genre_scores_gemma":[0.9710727,0.0004999442,0.01253543,0.0002467002,0.0000122447,0.000780208,0.002130104,0.00002208012,0.01270059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02068755,"threshold_uncertainty_score":0.1500994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04986238895109863,"score_gpt":0.2528216527461586,"score_spread":0.20295926379506,"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."}}