{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001545602,0.0003491846,0.0004254118,0.0003679916,0.001088696,0.0001821014,0.000447821,0.00007186566,0.0006213972],"category_scores_gemma":[0.00001937392,0.0003524818,0.0002431748,0.0001419309,0.0003887905,0.0003350594,0.00002424815,0.0002916884,0.002058738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709366,"about_ca_system_score_gemma":0.0002509961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09466072,"about_ca_topic_score_gemma":0.4921611,"domain_scores_codex":[0.9982107,0.0001336363,0.0002960192,0.0004651626,0.0002500231,0.0006444197],"domain_scores_gemma":[0.9985425,0.00003541275,0.0001340932,0.0006205306,0.0001946399,0.0004727489],"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":[0.000008558201,0.00009066564,0.0001140812,0.00004198807,0.0001426031,0.00002082982,0.009624128,0.00001363513,0.000340139,0.1709969,0.7417992,0.07680728],"study_design_scores_gemma":[0.0002134956,0.0000789972,0.0008068312,0.00003132597,0.00007325977,1.182207e-7,0.002210436,0.0002657333,0.0000226062,0.002270121,0.993566,0.0004610415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02154172,0.001800172,0.00001515699,0.0006571195,0.001193674,0.0001874034,0.0002088641,0.0001127922,0.9742831],"genre_scores_gemma":[0.8619843,0.00001693715,0.00003249569,0.06166746,0.003562804,0.00003443905,0.0001795256,0.00009903304,0.07242308],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.90186,"threshold_uncertainty_score":0.9998927,"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."}}