{"id":"W2564128056","doi":"","title":"Run Aground: Cultural Transformation in Southeastern Massachusetts' Aquatic Spaces, 1637-1711","year":2016,"lang":"en","type":"article","venue":"","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Quarter (Canadian coin); Transformation (genetics); Archaeology; Biology","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":[0.0002097569,0.0001064503,0.00005695661,0.0002495797,0.005121471,0.00142428,0.0003622817,0.0003888984,0.009499791],"category_scores_gemma":[0.0005034052,0.00007697738,0.00007100592,0.0006046777,0.001068877,0.0007454946,0.0020373,0.0005139214,0.0004698878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003208515,"about_ca_system_score_gemma":0.002772346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2491858,"about_ca_topic_score_gemma":0.8475745,"domain_scores_codex":[0.9998966,0.00002967868,0.000003138377,0.00001672145,0.00001471663,0.00003923328],"domain_scores_gemma":[0.9998065,0.00002683943,0.0000384749,0.00001253024,0.00003326408,0.00008238146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001852705,0.0001334502,0.2606515,0.0001280041,0.00002645815,0.003740244,0.5649,0.0001664249,0.005154516,0.01317101,0.03881519,0.1129279],"study_design_scores_gemma":[0.000005523035,0.00006624568,0.5111655,0.00004960455,0.00001124565,0.0001957217,0.3225599,0.00007525685,0.0004078237,0.0003092345,0.1651443,0.000009720713],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961459,0.0003311077,0.0001167876,0.002160903,0.00004547513,0.000009243257,0.0001971969,0.00001670172,0.03566352],"genre_scores_gemma":[0.9487249,0.0002297312,0.000164629,0.0001861242,0.00001160848,0.00002027277,0.0001117842,0.0000111303,0.0505397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2491858,"threshold_uncertainty_score":0.4954706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009908903054165323,"score_gpt":0.1994459553187238,"score_spread":0.1895370522645585,"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."}}