{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005432506,0.0002289175,0.0003166684,0.003336365,0.004398499,0.003217637,0.0008827095,0.0004255583,0.007148351],"category_scores_gemma":[0.0009431402,0.0002206684,0.0003715097,0.009234827,0.001951588,0.001209377,0.001814342,0.001015435,0.0003303404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05391557,"about_ca_system_score_gemma":0.02747079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949082,"about_ca_topic_score_gemma":0.9986551,"domain_scores_codex":[0.9993497,0.00007179041,0.00003272704,0.00005700065,0.00007413499,0.0004146904],"domain_scores_gemma":[0.9991955,0.0001209575,0.0001365332,0.00003346221,0.0002937597,0.0002198289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000540288,0.0002019892,0.586882,0.0008848119,0.0003309618,0.003274526,0.1032014,0.003704759,0.001360569,0.0699893,0.07683884,0.1527906],"study_design_scores_gemma":[0.000006933154,0.0000183297,0.8582579,0.0001770849,0.00004744028,0.0001693055,0.04323287,0.0002288393,0.0001590778,0.0004663342,0.09719293,0.00004290804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873634,0.01480615,0.0003020783,0.009672275,0.0002071157,0.0000388161,0.006618782,0.00003705893,0.09468359],"genre_scores_gemma":[0.9471555,0.005608775,0.0004474807,0.0007652799,0.00006781394,0.00003360499,0.001792169,0.00001632465,0.04411294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05391557,"threshold_uncertainty_score":0.3911867,"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."}}