{"id":"W2247264608","doi":"","title":"Population and Economy: Geographical Perspectives on Newfoundland in 1732","year":2013,"lang":"en","type":"article","venue":"Newfoundland and Labrador Studies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geography; Economic geography; Population; Economy; Demography; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001744018,0.00009237922,0.0002004029,0.0003347048,0.0007712711,0.000331724,0.00004768002,0.00006679388,0.0001046402],"category_scores_gemma":[0.00009053468,0.00009391928,0.00002692423,0.0001569208,0.0005921067,0.0003035944,0.00002442864,0.0001112542,0.00001602966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479612,"about_ca_system_score_gemma":0.00004366956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7577721,"about_ca_topic_score_gemma":0.9761065,"domain_scores_codex":[0.999259,0.00006805913,0.0001231814,0.0002437876,0.00009445096,0.00021155],"domain_scores_gemma":[0.9996132,0.0001270272,0.0000384086,0.00006809806,0.0000435767,0.000109703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002122848,0.00006086021,0.7467127,0.00003886908,0.00006453408,0.000006467745,0.07064731,0.000001489794,0.000002247448,0.1407289,0.001780463,0.03993492],"study_design_scores_gemma":[0.0003891265,0.00005452847,0.8762468,0.00002873154,0.00001063817,0.000001140389,0.02594982,0.000007357211,1.459719e-8,0.008612155,0.08856039,0.0001393059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716502,0.008363533,4.999317e-7,0.003983402,0.0001336997,0.0001849692,0.000002796739,0.00002593199,0.01565494],"genre_scores_gemma":[0.9900439,0.007402136,0.00002001313,0.0002320672,0.0002021426,0.00002192485,0.00000171318,0.000005804211,0.002070317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2183343,"threshold_uncertainty_score":0.5932072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427305328668819,"score_gpt":0.2628766612019495,"score_spread":0.2486036079152613,"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."}}