{"id":"W2046589596","doi":"10.1002/cjs.10102","title":"Case studies in data analysis","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Northern British Columbia; University of Toronto","funders":"","keywords":"George (robot); Library science; History; Sociology; Media studies; Geography; Art history; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001016959,0.00009683559,0.000410598,0.0004476956,0.00005420028,0.00001821671,0.0003177911,0.000037696,0.0004917645],"category_scores_gemma":[0.009006849,0.00008124929,0.00003075599,0.0004387842,0.0001830353,0.00007818962,0.00002913927,0.0002015417,0.000003616947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008150141,"about_ca_system_score_gemma":0.0004536783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003707475,"about_ca_topic_score_gemma":0.1406768,"domain_scores_codex":[0.9988284,0.0001286693,0.0005789653,0.0001179873,0.0001181039,0.000227849],"domain_scores_gemma":[0.9974439,0.001246246,0.0002453652,0.0003567755,0.0003307454,0.0003769812],"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":[0.0000201715,0.00006524695,0.02392266,0.0001482886,0.001521912,0.1298696,0.009071596,0.000006848115,0.000001698485,0.7832211,0.02842788,0.02372299],"study_design_scores_gemma":[0.0003304287,0.0001340498,0.004609276,0.00007192439,0.00137159,0.003614513,0.003023842,0.002146458,0.00001026273,0.9840239,0.0004377765,0.0002259973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02794445,0.0003950247,0.9676167,0.00003534964,0.0004059298,0.00007184681,0.00229524,0.000003312133,0.001232141],"genre_scores_gemma":[0.331857,0.00002807685,0.6680017,0.00003467376,0.00003071599,4.071442e-7,0.000003299839,0.000007242686,0.00003697888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3039125,"threshold_uncertainty_score":0.9993407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6241920659859912,"score_gpt":0.4508604250618717,"score_spread":0.1733316409241195,"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."}}