{"id":"W7107864870","doi":"10.1080/1943815x.2025.2573346","title":"Reviving the past to protect the future: developing a social-ecological clam garden site selection model","year":2025,"lang":"en","type":"article","venue":"Journal of Integrative Environmental Sciences","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of Indian Affairs; Washington Sea Grant, University of Washington; University of Pennsylvania; National Oceanic and Atmospheric Administration; Parks Canada; Society for Immunotherapy of Cancer; U.S. Environmental Protection Agency","keywords":"Work (physics); Indigenous; Process (computing); Resource (disambiguation); Traditional knowledge; Selection (genetic algorithm); Productivity; Resource management (computing)","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":[0.003945204,0.0005658031,0.0004285255,0.001319514,0.00256503,0.004125259,0.002330329,0.001965807,0.01042521],"category_scores_gemma":[0.008185796,0.0003693934,0.0008583905,0.001311486,0.004329851,0.003498696,0.003645289,0.00165278,0.0009115083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004428641,"about_ca_system_score_gemma":0.004456124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873479,"about_ca_topic_score_gemma":0.03340765,"domain_scores_codex":[0.9983675,0.0009975921,0.00003833421,0.0002554487,0.0001573655,0.0001838706],"domain_scores_gemma":[0.9964591,0.002051671,0.0003577149,0.0002393602,0.0002962324,0.0005959148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006184173,0.0002529618,0.01295834,0.00009491714,0.00005819053,0.000490566,0.006227989,0.1782362,0.0007031187,0.7726814,0.003640628,0.02459396],"study_design_scores_gemma":[0.00004050797,0.0001089312,0.002251637,0.00007941217,0.00004046302,0.0001806264,0.005268432,0.5989546,0.0001503286,0.3768768,0.01599395,0.0000543805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1481693,0.0002472382,0.6812532,0.01074546,0.0001291405,0.0005155506,0.0004033218,0.0002692787,0.1582675],"genre_scores_gemma":[0.81427,0.0001958052,0.1726084,0.0004773814,0.00003605363,0.0006011205,0.00016168,0.00007761352,0.011572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01873479,"threshold_uncertainty_score":0.03725147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238655999617477,"score_gpt":0.2549153312448461,"score_spread":0.2425287712486713,"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."}}