{"id":"W4413371734","doi":"10.1093/fshmag/vuaf076","title":"The story of the Penobscot River Ecology Mural: A 10-step process for scientists to create public art","year":2025,"lang":"en","type":"article","venue":"Fisheries","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Geological Survey; Maine Department of Inland Fisheries and Wildlife; Atlantic Salmon Federation; Maine Agricultural and Forest Experiment Station","keywords":"Mural; Ecology; Process (computing); Geography; Environmental resource management; Biology; Environmental science; Art; Visual arts; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005323007,0.0009281173,0.0002949448,0.001045631,0.01330651,0.01414133,0.001548409,0.004206438,0.03070688],"category_scores_gemma":[0.008977606,0.0004949527,0.0006241909,0.0005482846,0.006852515,0.007015362,0.0124715,0.008504746,0.006035195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004213649,"about_ca_system_score_gemma":0.002697632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004859811,"about_ca_topic_score_gemma":0.01990566,"domain_scores_codex":[0.9959452,0.001734126,0.0000807797,0.0004047021,0.001361439,0.0004738683],"domain_scores_gemma":[0.9953327,0.001113241,0.0001996181,0.0003894157,0.0009319041,0.00203318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006797237,0.000131809,0.001033821,0.0001744742,0.00001070906,0.0008195647,0.04699112,0.0001855342,0.001602525,0.06475861,0.8183613,0.06586257],"study_design_scores_gemma":[0.000004219289,0.00001605276,0.0002401823,0.00005425903,0.000001703391,0.0001517382,0.004695802,0.00005660732,0.0001012681,0.001635993,0.9930331,0.000009141806],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04196221,0.007948188,0.0198509,0.2570618,0.03310975,0.000771078,0.0007270662,0.00176166,0.6368073],"genre_scores_gemma":[0.2149751,0.00291552,0.02465603,0.04711236,0.007066882,0.001014662,0.0003989077,0.002695362,0.6991652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03070688,"threshold_uncertainty_score":0.1027247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235169666061745,"score_gpt":0.3285425752429463,"score_spread":0.2861908785823288,"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."}}