{"id":"W6983205731","doi":"","title":"Littoral substrate data summary associated with the littoral zone benthic macroinvertebrate survey in central Ontario","year":2003,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Littoral zone; Benthic zone; Substrate (aquarium); Invertebrate; Hydrology (agriculture)","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":[0.0002395939,0.0004355342,0.0003712561,0.003523276,0.001268122,0.0007009449,0.0008900665,0.0002195584,0.05462734],"category_scores_gemma":[0.001142989,0.0004674909,0.0002665328,0.008535502,0.0002464379,0.0004200201,0.0005899674,0.0002276881,0.01219811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006080643,"about_ca_system_score_gemma":0.01354655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9738173,"about_ca_topic_score_gemma":0.9923282,"domain_scores_codex":[0.9995357,0.00001807057,0.00005725318,0.00007337949,0.0002150024,0.0001008037],"domain_scores_gemma":[0.9979727,0.00008847602,0.0002566269,0.0001224004,0.001288343,0.0002714981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002623214,0.00007809351,0.2715985,0.001627827,0.00006590598,0.0004838649,0.001585139,0.0006665524,0.002794956,0.0004237659,0.632945,0.0874681],"study_design_scores_gemma":[0.00003890279,0.0000396436,0.7948668,0.0001392594,0.00003297889,0.000104411,0.0008242592,0.0002265574,0.000633937,0.00005383663,0.2030176,0.0000217624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05346348,0.0004724093,0.0005244474,0.0001716364,0.00005475396,0.0003467617,0.8957136,0.0003743529,0.04887854],"genre_scores_gemma":[0.1327893,0.001894196,0.003031386,0.0001612198,0.00003377127,0.0006117931,0.6628712,0.0003068988,0.1983002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05462734,"threshold_uncertainty_score":0.1827466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864215800219611,"score_gpt":0.1991195243279454,"score_spread":0.1804773663257493,"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."}}