{"id":"W2609726565","doi":"","title":"Nancy Fitch: “Humanity isn’t machines, you know”","year":2014,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Humanity; Computer science; Data science; World Wide Web; Philosophy; Theology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004314428,0.0005566279,0.000488419,0.001165176,0.02647264,0.006966002,0.002280585,0.01384306,0.02394122],"category_scores_gemma":[0.01980779,0.0005469869,0.0003174592,0.001372799,0.01210966,0.005740517,0.003093335,0.01724786,0.003143314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0234687,"about_ca_system_score_gemma":0.06332772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8412818,"about_ca_topic_score_gemma":0.9529406,"domain_scores_codex":[0.9967636,0.0009464065,0.0001473489,0.00041064,0.001122986,0.0006090179],"domain_scores_gemma":[0.9921819,0.002698292,0.0002628024,0.0001766112,0.002781893,0.001898566],"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":[0.000005316752,0.000005698666,0.0002509766,0.00003384131,0.00000247823,0.0002248671,0.005191827,0.00001466321,0.00004619453,0.01344923,0.9725719,0.008202983],"study_design_scores_gemma":[0.000005276154,0.00000315255,0.0009431075,0.0002373869,0.000004209414,0.0002775048,0.01516095,0.00002454544,0.00005664487,0.004192402,0.9790662,0.00002840208],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001169279,0.01703646,0.0002559093,0.9323341,0.00977912,0.00002750344,0.00005909209,0.00004535105,0.03929314],"genre_scores_gemma":[0.03189526,0.01688605,0.001313112,0.7497914,0.004803641,0.00009982473,0.00006219219,0.0001803231,0.1949683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8412818,"threshold_uncertainty_score":0.3193057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397902846313186,"score_gpt":0.2080871132754699,"score_spread":0.184108084812338,"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."}}