{"id":"W2068432346","doi":"10.1016/j.socscimed.2012.10.013","title":"Some models just can't be fixed. A commentary on Mortensen","year":2012,"lang":"en","type":"letter","venue":"Social Science & Medicine","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canada Research Chairs","keywords":"Econometrics; Economics; Demography; Mathematical economics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.04067953,0.001946294,0.004544405,0.001529671,0.007459083,0.008558485,0.008210982,0.09507124,0.009352351],"category_scores_gemma":[0.178128,0.002102871,0.004141159,0.001676586,0.02917908,0.02459716,0.004895447,0.156062,0.006165087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008415882,"about_ca_system_score_gemma":0.009453068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165164,"about_ca_topic_score_gemma":0.02542295,"domain_scores_codex":[0.9718698,0.01422721,0.001946269,0.004278272,0.006184335,0.001494031],"domain_scores_gemma":[0.7997158,0.1838667,0.003093428,0.003675837,0.007065427,0.002582728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003971969,0.00001104934,0.00007895436,0.0001026287,0.00003202429,0.0001936218,0.0003245717,0.0000925683,0.00003167478,0.04131368,0.9533786,0.004400944],"study_design_scores_gemma":[0.0002111587,0.00004466749,0.000466589,0.001081676,0.00008130735,0.0006017972,0.0008479146,0.0007919035,0.0002478877,0.2862327,0.7092289,0.0001634804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00003491206,0.001162395,0.0001972958,0.9933125,0.004717671,0.000002330946,0.00002850875,0.000008620508,0.0005356674],"genre_scores_gemma":[0.001428846,0.0007082894,0.0002952125,0.9830875,0.01310271,0.00002304349,0.00001314011,0.00002160532,0.001319785],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09507124,"threshold_uncertainty_score":0.2151365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2135639124965578,"score_gpt":0.4319060999376298,"score_spread":0.218342187441072,"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."}}