{"id":"W2075226609","doi":"10.1029/2011eo130002","title":"Great Lakes Literacy Principles","year":2011,"lang":"en","type":"article","venue":"Eos","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Ocean Sciences; Ohio Sea Grant College, Ohio State University; National Science Foundation","keywords":"Quarter (Canadian coin); Excellence; Fishing; Population; Literacy; Resource (disambiguation); Geography; Political science; Economic growth; Sociology; Archaeology; Economics; Law","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":[0.002681167,0.000462938,0.0002514005,0.001204803,0.004516717,0.004929165,0.001079553,0.003276306,0.04120462],"category_scores_gemma":[0.007257348,0.0003685238,0.0003613915,0.0009758059,0.003789803,0.004194788,0.007955824,0.003491587,0.01148108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003641773,"about_ca_system_score_gemma":0.01535097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03255193,"about_ca_topic_score_gemma":0.08251724,"domain_scores_codex":[0.9971494,0.0008482823,0.0001539173,0.0002384329,0.001032713,0.000577257],"domain_scores_gemma":[0.9972945,0.0006750924,0.0001587645,0.0001499642,0.0008554021,0.0008662887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001465888,0.00005292282,0.002005107,0.0001529469,0.000003822633,0.000256761,0.004269906,0.0001061798,0.0001766586,0.2267081,0.6901925,0.07606041],"study_design_scores_gemma":[0.000004536021,0.000009038074,0.001081074,0.0001288835,0.000001504983,0.0001146545,0.0009160546,0.00003682574,0.00005994515,0.009019402,0.9886219,0.000006125658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006635255,0.003425476,0.005597055,0.1417135,0.001805738,0.0003561257,0.0007371739,0.0004826328,0.839247],"genre_scores_gemma":[0.1023433,0.006896195,0.01996959,0.07769038,0.001466123,0.00114747,0.001270815,0.0002949189,0.7889212],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04120462,"threshold_uncertainty_score":0.1378431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653043600768006,"score_gpt":0.2213929078278941,"score_spread":0.1948624718202141,"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."}}