{"id":"W4388516162","doi":"10.1515/9781552385678","title":"Always an Adventure","year":2012,"lang":"en","type":"book","venue":"University of Calgary Press eBooks","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adventure; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001352062,0.001110005,0.0007405328,0.001164582,0.01116675,0.010913,0.00163021,0.003555024,0.1948553],"category_scores_gemma":[0.005932245,0.0005458908,0.0005512105,0.000707101,0.002890261,0.0069971,0.00816961,0.007169119,0.1239977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002970253,"about_ca_system_score_gemma":0.005390435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01827016,"about_ca_topic_score_gemma":0.0598996,"domain_scores_codex":[0.9978526,0.0003756254,0.00004183338,0.0004003441,0.0008488987,0.0004808094],"domain_scores_gemma":[0.9936858,0.0002856063,0.0001516277,0.0003096646,0.00142662,0.004140784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001554912,0.00003171924,0.0002788887,0.00005564485,0.000004131542,0.0002291917,0.00152067,0.00001445873,0.0002482257,0.006350529,0.9634406,0.02781047],"study_design_scores_gemma":[8.949709e-7,0.000004663125,0.0001078395,0.0000368231,9.880704e-7,0.0001271396,0.0008858552,0.000006394072,0.00002446005,0.000352791,0.9984477,0.000004473506],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004450381,0.01942105,0.00251206,0.1456396,0.08486122,0.0001207064,0.0005290462,0.001467238,0.7409988],"genre_scores_gemma":[0.009362612,0.003043774,0.0009702398,0.02612994,0.003888196,0.00002509805,0.0001837035,0.0003637624,0.9560326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1948553,"threshold_uncertainty_score":0.6518559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051950633351527,"score_gpt":0.1936662369674823,"score_spread":0.1531467306339671,"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."}}