{"id":"W1631482289","doi":"10.22230/cjc.2010v35n4a2421","title":"Losing Our Census","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Census and Population Estimation","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Windsor","funders":"","keywords":"Census; Government (linguistics); Context (archaeology); Democracy; Contradiction; Political science; Public administration; Civil society; Geography; Sociology; Politics; Law; Population; Demography","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":[0.0004073777,0.00005016745,0.00009600975,0.0001480772,0.0001267036,0.0000187208,0.0002236052,0.0000418273,0.00006152477],"category_scores_gemma":[0.0002571678,0.00004840247,0.00004498527,0.00009127066,0.00001694142,0.0001568939,0.000006462629,0.0001354015,0.000006735359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009157935,"about_ca_system_score_gemma":0.0001790317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748848,"about_ca_topic_score_gemma":0.009549484,"domain_scores_codex":[0.9994045,0.00008207465,0.0003118996,0.0000289183,0.0000757727,0.0000967755],"domain_scores_gemma":[0.9989274,0.0000400507,0.0003231131,0.000279346,0.000258904,0.0001712448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005640588,0.0001283217,0.08214191,0.00006834175,0.0001269201,0.00004113836,0.02081583,0.00009639283,0.0001850237,0.7769073,0.05039525,0.06903722],"study_design_scores_gemma":[0.001072616,0.0001432459,0.2372644,0.0005194138,0.0001715504,0.0005022321,0.002245835,0.001465351,0.0008483131,0.706483,0.04886131,0.0004226915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935443,0.001361871,0.009552324,0.003924991,0.000663936,0.0002330315,0.00001944433,0.0000294588,0.04877189],"genre_scores_gemma":[0.9663333,0.00001458804,0.03349062,0.00005088412,0.00003750687,4.407638e-7,0.000005445837,0.000009083149,0.00005818648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1551225,"threshold_uncertainty_score":0.5328836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1886049344483185,"score_gpt":0.3406185942456714,"score_spread":0.1520136597973529,"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."}}