{"id":"W7096589056","doi":"","title":"Maps of Nova Scotia GAELIC NOVA SCOTIA AN ECONOMIC, CULTURAL, AND SOCIAL IMPACT STUDY","year":2002,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Scope (computer science); Nova (rocket); Permission; Social impact","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":[0.0001878175,0.000272389,0.0001998794,0.004030489,0.001836132,0.001492795,0.000475616,0.0001768893,0.01095756],"category_scores_gemma":[0.001385138,0.0002053618,0.0001724832,0.009039728,0.0005138862,0.0002417409,0.001051572,0.0002400043,0.001151827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01589351,"about_ca_system_score_gemma":0.01823067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898672,"about_ca_topic_score_gemma":0.9968625,"domain_scores_codex":[0.9997004,0.00002542788,0.00001845936,0.00003730879,0.00011727,0.0001010971],"domain_scores_gemma":[0.999064,0.00005977659,0.00008393374,0.00005078358,0.0006183208,0.0001231474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000795994,0.00007957986,0.4946007,0.002362874,0.0002520718,0.005330171,0.02272679,0.003891781,0.005398932,0.01398042,0.2367591,0.2138215],"study_design_scores_gemma":[0.000008554584,0.00001274028,0.8814846,0.0002228449,0.00002479424,0.000226693,0.007704346,0.0002471048,0.0002300723,0.0001560405,0.109661,0.00002120301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6601201,0.006491106,0.0006236532,0.002059673,0.0002209027,0.0003974015,0.09783155,0.0001610879,0.2320945],"genre_scores_gemma":[0.9055418,0.003118876,0.001485889,0.000124687,0.00002069309,0.0001529038,0.0152441,0.00005498776,0.07425591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01589351,"threshold_uncertainty_score":0.115316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05526219610263708,"score_gpt":0.3176813316687463,"score_spread":0.2624191355661093,"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."}}