{"id":"W6906931849","doi":"10.17632/jy2jzrcd93","title":"Data for: 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":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Radiocarbon dating; Harbour; Fell; Western europe","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":[0.0007155491,0.001233988,0.001022313,0.004883137,0.001424403,0.002208308,0.002205337,0.0006671647,0.06023783],"category_scores_gemma":[0.004685492,0.0008047938,0.0008194451,0.01482117,0.0004154459,0.0008211726,0.001273773,0.001257536,0.01737355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01265491,"about_ca_system_score_gemma":0.02861874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9814454,"about_ca_topic_score_gemma":0.9884413,"domain_scores_codex":[0.9991732,0.00003445204,0.00007637917,0.0001408133,0.0003394061,0.0002357012],"domain_scores_gemma":[0.9954829,0.0003338365,0.0004486464,0.0003446284,0.002836092,0.0005537925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005584502,0.00001952018,0.01741045,0.0005660791,0.00009145861,0.00004088683,0.000144885,0.0008071183,0.00006387014,0.00117159,0.9738097,0.005818716],"study_design_scores_gemma":[0.0001424184,0.00001457338,0.1943327,0.0007149075,0.00008996806,0.00006431132,0.0005646145,0.001255668,0.0005037874,0.0007460837,0.8014818,0.00008915511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004109284,0.00003897844,0.00003148937,0.00003194499,0.000006279324,0.000005988893,0.9988281,0.00003745712,0.0006088261],"genre_scores_gemma":[0.003528227,0.0001516189,0.0003017502,0.00003212922,0.000005522302,0.00005829836,0.992332,0.00005235648,0.00353803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06023783,"threshold_uncertainty_score":0.2015156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09934272663031515,"score_gpt":0.3204563772610426,"score_spread":0.2211136506307274,"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."}}