{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.002461559,0.0008167177,0.0007963492,0.0001200604,0.0007268015,0.0005731855,0.006229419,0.0001800645,0.00004984667],"category_scores_gemma":[0.0003720057,0.0005311728,0.00004524342,0.0001682174,0.0005631812,0.00112037,0.004104724,0.001462435,0.00001920512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005502505,"about_ca_system_score_gemma":0.000778164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2809894,"about_ca_topic_score_gemma":0.9466873,"domain_scores_codex":[0.9945093,0.0007270194,0.0009927304,0.001902954,0.001109156,0.0007587934],"domain_scores_gemma":[0.9924355,0.0006533912,0.0004973097,0.006139018,0.00002016999,0.0002546539],"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":[0.0003763867,0.0001578354,0.0002161648,0.000353177,0.0003160795,0.00006357433,0.0002816393,8.3269e-7,0.00008025947,0.00009022066,0.997754,0.0003097696],"study_design_scores_gemma":[0.004102982,0.00008443995,0.0002801731,0.0002508411,0.0007496621,0.00008211457,0.0003139735,0.0001608131,0.0000156376,0.00006097108,0.993345,0.0005534178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003541062,0.0007148642,0.0000473684,0.001915707,0.0008735684,0.004641794,0.9914041,0.00002671337,0.00002175534],"genre_scores_gemma":[0.001810855,0.001203494,0.00009696661,0.001118131,0.00142819,0.0007276837,0.9934785,0.0001052067,0.00003100105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6656979,"threshold_uncertainty_score":0.999714,"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."}}