{"id":"W7026993043","doi":"","title":"Augmenting GTM with NA: \\nIntergenerational Storytelling","year":2015,"lang":"en","type":"other","venue":"NSUWorks (Nova Southeastern University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conceptualization; Storytelling; Narrative; Context (archaeology); Grounded theory; Constructivist grounded theory; Narrative inquiry; Immigration","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000287093,0.0007748724,0.0006536594,0.002259692,0.0001706406,0.0001125094,0.0008091692,0.0006353157,0.004300187],"category_scores_gemma":[0.00001930589,0.0008099983,0.0001666183,0.001345144,0.0002710647,0.0001952045,0.0002767851,0.0008014897,0.00722304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729586,"about_ca_system_score_gemma":0.0004791929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001537237,"about_ca_topic_score_gemma":0.001599261,"domain_scores_codex":[0.9968485,0.0002058173,0.0002728237,0.001007986,0.0009334671,0.0007314704],"domain_scores_gemma":[0.9978848,0.00003782998,0.0006465558,0.0007598114,0.0002975363,0.0003734892],"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":[0.001936375,0.0007626676,0.0131356,0.0003985061,0.004477761,0.002070162,0.004608653,0.006619405,0.0005438635,0.006646724,0.9561221,0.002678187],"study_design_scores_gemma":[0.00207786,0.00009194661,0.00001884721,0.001118814,0.0003903887,0.00003385285,0.001999695,0.0007141803,0.00001578536,0.00001000199,0.9924063,0.001122312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001263324,0.0003681083,0.01135229,0.0000246759,0.000908351,0.000535099,0.0008860507,0.001113925,0.9835482],"genre_scores_gemma":[0.01309131,0.000006116712,0.002636608,0.00002918432,0.0009856955,9.646499e-7,0.0004323464,0.001603981,0.9812138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03628422,"threshold_uncertainty_score":0.9994351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910801148994302,"score_gpt":0.2138315436221742,"score_spread":0.1847235321322312,"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."}}