{"id":"W2901472827","doi":"10.1007/s10816-018-9405-z","title":"Recognizing River Power: Watery Views of Ontario’s Fur Trade","year":2018,"lang":"en","type":"article","venue":"Journal of Archaeological Method and Theory","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Assemblage (archaeology); Cognitive reframing; Fur trade; Anthropocentrism; Anthropocene; Archaeology; Premise; Historical archaeology; Humanity; Power (physics); Archaeological record; History; Historical ecology; Sociology; Anthropology; Environmental ethics; Law; Epistemology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001452028,0.000182718,0.0001415322,0.001525606,0.01385326,0.008471434,0.001231171,0.001853955,0.006829115],"category_scores_gemma":[0.004156171,0.0002493014,0.0001668827,0.002323255,0.01996336,0.004070728,0.00304059,0.001883387,0.0002129276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0410339,"about_ca_system_score_gemma":0.03186008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9509785,"about_ca_topic_score_gemma":0.9870887,"domain_scores_codex":[0.9990388,0.0002424599,0.00003058319,0.00009726115,0.0002250694,0.0003657773],"domain_scores_gemma":[0.9979004,0.0007407654,0.0002213514,0.0001398432,0.0006788906,0.0003187798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007257889,0.00001820299,0.02473017,0.00007216636,0.00001796335,0.000927248,0.626519,0.0005999849,0.0007025191,0.3076568,0.01345969,0.0252238],"study_design_scores_gemma":[0.00000681732,0.000009780552,0.03184528,0.0001346797,0.0000219133,0.0001296292,0.7099478,0.000523678,0.0003572748,0.0311286,0.225857,0.00003757838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5330947,0.0008363341,0.002884724,0.0451023,0.0001003884,0.00003466065,0.0001920981,0.00001955912,0.4177352],"genre_scores_gemma":[0.9822512,0.0002929494,0.0003333425,0.000519289,0.00001281502,0.000007409673,0.00002055971,0.00001383901,0.01654869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04902148,"threshold_uncertainty_score":0.2977231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06661341692484779,"score_gpt":0.3412328785324636,"score_spread":0.2746194616076159,"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."}}