{"id":"W3030543365","doi":"10.1016/j.jaa.2020.101179","title":"Endowment, investment, and the transforming coast: Long-term human-environment interactions and territorial proprietorship in the Prince Rupert Harbour, Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Anthropological Archaeology","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Endowment; Negotiation; Politics; Harbour; Investment (military); Landform; Geography; Sociology; Economy; Political science; Economics; Social science; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003851287,0.0001257085,0.0002579781,0.00002106914,0.0003645583,0.000007337289,0.0002226748,0.00004350636,0.0003007815],"category_scores_gemma":[0.00005385134,0.00005823599,0.0000413539,0.00004183821,0.004603271,0.00009310008,0.00009081735,0.0004756376,0.00000126713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001365412,"about_ca_system_score_gemma":0.00003028922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.025097,"about_ca_topic_score_gemma":0.27291,"domain_scores_codex":[0.9987287,0.0003512981,0.0003265421,0.0001596198,0.0001941375,0.0002397183],"domain_scores_gemma":[0.9993226,0.0003763316,0.0001405881,0.00005455353,0.000005002255,0.0001009147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003134367,0.00002892808,0.9907173,0.000009779783,0.00003684366,0.0001932362,0.005126353,0.0000334826,0.00004505823,0.00121142,0.00005774579,0.002226415],"study_design_scores_gemma":[0.001412876,0.0008741369,0.9859074,0.0000131431,0.00003191125,0.0004587412,0.002527009,0.00005942738,0.00005526879,0.002904933,0.005659215,0.00009594257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566377,0.001832433,0.0001623324,0.04076327,0.0002552438,0.0002023286,0.000007968704,0.000002334571,0.0001364191],"genre_scores_gemma":[0.9944336,0.0023746,0.00009367946,0.002830295,0.0002496582,0.000002333032,0.000003343352,0.000001548214,0.00001096191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.247813,"threshold_uncertainty_score":0.9981056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446955988463004,"score_gpt":0.2398122635269626,"score_spread":0.2153427036423326,"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."}}