{"id":"W4367159201","doi":"10.7202/1078116ar","title":"The Decline of Nova Scotia Micmac Population, A.D. 1600-1850","year":2021,"lang":"en","type":"article","venue":"Culture","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Population decline; Population; Geography; Demography; History; Archaeology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001375385,0.00002878583,0.00005755013,0.00002169092,0.0004351744,0.0001259196,0.0001226387,0.00006037746,0.000747496],"category_scores_gemma":[0.0002207493,0.00002601172,0.00004993095,0.0002334899,0.0002067329,0.00006098441,0.00001769979,0.00006607879,0.0001131913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103682,"about_ca_system_score_gemma":0.0002619834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2689897,"about_ca_topic_score_gemma":0.9872628,"domain_scores_codex":[0.999526,0.00004802171,0.00009252998,0.00007505787,0.0001590216,0.00009935933],"domain_scores_gemma":[0.9996344,0.00001892192,0.00004433038,0.0001032116,0.0001477403,0.00005142222],"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":[0.000003936191,0.00002036097,0.005107594,0.00001450635,0.00002067035,0.000008063356,0.02287369,0.00000507194,0.0008116607,0.07342616,0.8929703,0.004737937],"study_design_scores_gemma":[0.00004683255,0.000002089156,0.007425779,0.000007876993,0.000008402247,4.657254e-7,0.002504048,4.426577e-7,0.00005284424,0.001211065,0.9887035,0.00003658984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3786795,0.04286479,0.00005162176,0.07966448,0.00670675,0.0004460563,0.0001350647,0.00009778435,0.491354],"genre_scores_gemma":[0.7821501,0.001103463,0.0002645645,0.001123287,0.0008682892,8.382612e-7,0.00004663803,0.000009245038,0.2144336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.718273,"threshold_uncertainty_score":0.8184556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433073648637799,"score_gpt":0.2726438372556466,"score_spread":0.2583131007692686,"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."}}