{"id":"W2230348091","doi":"10.25336/p6t60h","title":"Anatole Romaniuc: pioneer in African demography","year":2003,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Demography; Geography; Historical demography; Sociology; Population; Research methodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002964755,0.0002953331,0.0004518767,0.00184019,0.006165315,0.002075967,0.0004695639,0.0007596333,0.005509676],"category_scores_gemma":[0.003049239,0.0002026916,0.0001126236,0.002190316,0.004692035,0.001642167,0.00153066,0.002005293,0.0006853793],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004191688,"about_ca_system_score_gemma":0.005303042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.087998,"about_ca_topic_score_gemma":0.1784359,"domain_scores_codex":[0.9992459,0.0003641777,0.00003557976,0.00009433136,0.0001049895,0.0001550878],"domain_scores_gemma":[0.9988471,0.0004123227,0.0001312158,0.00009823002,0.0003426287,0.0001684629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002757449,0.0000670986,0.02071199,0.000983218,0.0000279321,0.002180483,0.1223197,0.000303346,0.003365382,0.5466933,0.08287366,0.2201982],"study_design_scores_gemma":[0.000007834338,0.00002718083,0.01523654,0.0004336147,0.00001283421,0.001399312,0.01331175,0.0001082618,0.0009334498,0.004014658,0.9644913,0.00002335863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3703936,0.1709741,0.0056991,0.1006259,0.005385007,0.0001681017,0.0004981735,0.0002647962,0.3459911],"genre_scores_gemma":[0.8555415,0.0391107,0.006939406,0.005099194,0.001449037,0.00004683832,0.0001025234,0.0001838058,0.0915269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9958083,"threshold_uncertainty_score":0.1749716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339611156525558,"score_gpt":0.3282549495384263,"score_spread":0.2942938338858705,"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."}}