{"id":"W2050734361","doi":"10.6000/1929-6029.2012.01.01.02","title":"Enriched-Data Problems and Essential Non-Identifiability","year":2012,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unobservable; Identifiability; Computer science; Latent variable; Censoring (clinical trials); Statistical model; Interpretation (philosophy); Verifiable secret sharing; Data mining; Econometrics; Artificial intelligence; Machine learning; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01582337,0.00009737146,0.00028132,0.0002610382,0.00004797717,0.00006038482,0.0009844902,0.000104752,0.0004526355],"category_scores_gemma":[0.06234037,0.00007700568,0.00002284175,0.0001439238,0.0004504566,0.0003334829,0.0006640631,0.001087156,0.00000596828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122428,"about_ca_system_score_gemma":0.0002372014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004611551,"about_ca_topic_score_gemma":0.00004180373,"domain_scores_codex":[0.9947699,0.0005212429,0.0008382402,0.0001909793,0.003274969,0.0004046926],"domain_scores_gemma":[0.9877483,0.01022522,0.0001936838,0.000251883,0.001122741,0.0004581373],"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":[0.0002472989,0.001437841,0.007520382,0.0002854798,0.0001720436,0.000595289,0.0015464,0.000009559754,0.0005283905,0.5459471,0.01071863,0.4309916],"study_design_scores_gemma":[0.0009241906,0.00008472842,0.004083922,0.0002142197,0.00001419848,0.0001567041,0.000185713,0.01178404,0.00005448232,0.9791819,0.003214448,0.0001013767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02466197,0.0002088158,0.97278,0.0008088879,0.0007718761,0.0001308745,0.0001516657,0.00000330231,0.0004825637],"genre_scores_gemma":[0.5550017,0.0005535262,0.4435915,0.00003750361,0.0007062464,0.000004524093,0.00001161561,0.00001396868,0.00007943928],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5303397,"threshold_uncertainty_score":0.945558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3281842391572342,"score_gpt":0.596176048233318,"score_spread":0.2679918090760838,"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."}}