{"id":"W1876799284","doi":"10.14288/1.0063307","title":"Physical characteristics of Nitinat Lake, 2003","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geology","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":[0.00009893296,0.0002058154,0.0002003693,0.0007558103,0.001225786,0.0006551701,0.0003025306,0.0001632905,0.004983075],"category_scores_gemma":[0.0004776455,0.0001031319,0.0001116037,0.001534387,0.0001840132,0.0003718628,0.0005155184,0.0001614146,0.0009629926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182953,"about_ca_system_score_gemma":0.0007500491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1119209,"about_ca_topic_score_gemma":0.3973568,"domain_scores_codex":[0.999877,0.000004076617,0.00001066275,0.00002879019,0.0000572153,0.00002226463],"domain_scores_gemma":[0.9997976,0.00000883601,0.00005357852,0.000009532163,0.00008055455,0.00004985711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002585068,0.0001542492,0.959493,0.00008524918,0.00002282514,0.0004958209,0.001799229,0.0002482335,0.005452114,0.0001577423,0.006002049,0.02583095],"study_design_scores_gemma":[0.000004814971,0.00004696385,0.9915243,0.000006998223,0.000005965512,0.0002314037,0.000751857,0.0002466876,0.00022801,0.00002189949,0.006923744,0.000007413305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757086,0.0001950491,0.000191172,0.0001570856,0.0000136548,0.00006553264,0.004405513,0.00003037517,0.01923307],"genre_scores_gemma":[0.974247,0.0001578603,0.0004884709,0.00008796938,0.00001697627,0.00005531295,0.00629084,0.00001825058,0.01863731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8880791,"threshold_uncertainty_score":0.2225389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004642766023848029,"score_gpt":0.1587945105188933,"score_spread":0.1541517444950453,"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."}}