{"id":"W6989716530","doi":"","title":"Canadian Political Science Association Conference on Statistics 1961: Papers","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Association (psychology); Politics; Official statistics; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004614451,0.0001272563,0.0001362802,0.006772607,0.0003668423,0.00006789462,0.0002189985,0.00009215793,0.00008660812],"category_scores_gemma":[0.001102317,0.0001413591,0.00003658728,0.006053766,0.00006415758,0.0001892078,0.00004756882,0.0001522611,0.0001399375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002694065,"about_ca_system_score_gemma":0.001851784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3519621,"about_ca_topic_score_gemma":0.4137855,"domain_scores_codex":[0.9983624,0.00006702284,0.0001381327,0.0002633821,0.0004305716,0.0007385155],"domain_scores_gemma":[0.9988351,0.0002767156,0.0001010174,0.0002160816,0.0002681167,0.0003029438],"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":[0.00001136701,0.00003306729,0.004217369,0.0000249893,0.00001499097,0.00004255546,0.001129285,0.00002142959,0.00001024533,0.9899913,0.001492486,0.003010889],"study_design_scores_gemma":[0.0009314908,0.0001544542,0.02463333,0.00008276929,0.000105285,0.000004503983,0.0009745036,0.02066186,0.0001801552,0.001733434,0.9499756,0.0005625772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1146951,3.359421e-8,0.0007361213,0.001747321,0.000319499,0.0004877169,0.0004263893,0.0003261726,0.8812616],"genre_scores_gemma":[0.9970805,0.0004499036,0.001864541,0.000132654,0.00004645249,0.000001344724,0.00007930295,0.00001582728,0.0003294804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9882579,"threshold_uncertainty_score":0.7044887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05062928245087069,"score_gpt":0.2900655883647665,"score_spread":0.2394363059138958,"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."}}