{"id":"W4401713863","doi":"10.1007/979-8-8688-0450-2_6","title":"Masks, Selections, and Filling in the Gaps: Part 1","year":2024,"lang":"en","type":"book-chapter","venue":"Apress eBooks","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Delta-Q Technologies (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000168162,0.0002743417,0.0003041156,0.0002458239,0.000312124,0.0002215086,0.0001803889,0.0001169104,0.001418885],"category_scores_gemma":[0.00000632289,0.0001996374,0.0001398482,0.000006619797,0.0003582704,0.00004918665,0.00004262563,0.0005317025,0.0001729472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005437474,"about_ca_system_score_gemma":0.00002960827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002529814,"about_ca_topic_score_gemma":0.005461923,"domain_scores_codex":[0.9989361,0.00003349893,0.0002835018,0.0003535538,0.000218233,0.000175143],"domain_scores_gemma":[0.9994316,0.00008967982,0.00009815829,0.0002912925,0.00005589143,0.00003335104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008043588,0.000007401289,0.000001906287,0.0001189718,0.0002060289,0.00004656874,0.0400146,0.000001619803,0.000005496345,0.8890448,0.06839813,0.002146424],"study_design_scores_gemma":[0.00006010249,0.00003193716,4.51631e-7,0.0002105463,0.0002481444,0.000003968573,0.001163518,0.00001572072,0.00001183186,0.03455323,0.9634686,0.0002319733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009074491,0.009558108,0.000001078066,0.0001599487,0.0005028685,0.000211274,0.00006906907,0.00005838666,0.9893485],"genre_scores_gemma":[0.01093402,0.0001504843,0.000006423108,0.0003342618,0.001170876,0.00004941741,0.00002778098,0.00005418887,0.9872726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8950704,"threshold_uncertainty_score":0.999494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005393851991091,"score_gpt":0.2296882529377032,"score_spread":0.1796343144177923,"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."}}