{"id":"W4414486407","doi":"10.29173/css210","title":"Introduction: History Alive! Old Sources, New Technologies","year":2006,"lang":"en","type":"article","venue":"Canadian Social Studies","topic":"Philosophy, History, and Historiography","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emerging technologies; Social studies; Technological literacy; History of technology; Technology integration; Educational technology; History of computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00006300726,0.0001944499,0.0002823675,0.0003876689,0.001517952,0.00003800622,0.0001862567,0.00008472741,0.0006217273],"category_scores_gemma":[0.00002457572,0.0002066212,0.0001530918,0.00007630856,0.00146358,0.000120234,0.00002227675,0.0001601602,0.0001247427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109709,"about_ca_system_score_gemma":0.0002586258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2578604,"about_ca_topic_score_gemma":0.7876862,"domain_scores_codex":[0.9989954,0.0000198496,0.0001939469,0.0002779973,0.0001470738,0.0003657285],"domain_scores_gemma":[0.9995217,0.0000142371,0.00008542735,0.0001543251,0.0001410144,0.00008325128],"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":[0.000002180843,0.000007274624,0.00008296128,0.000009896396,0.00005797699,0.000005866703,0.01949345,9.875051e-8,0.000002150225,0.3175572,0.6616388,0.001142137],"study_design_scores_gemma":[0.0001208122,0.00002425393,0.0001264383,0.000005021705,0.00005048319,8.719827e-7,0.01429206,4.764065e-8,0.000002207906,0.01275108,0.9723822,0.0002444818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004232886,0.1781646,0.00000155675,0.04401502,0.01106443,0.000261127,0.00008623312,0.0008613407,0.7613128],"genre_scores_gemma":[0.5530835,0.0006304423,0.00007163023,0.001636724,0.05605806,0.00007799322,0.00004976197,0.00007925382,0.3883127],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5488506,"threshold_uncertainty_score":0.9997819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526395751375188,"score_gpt":0.1976337939663843,"score_spread":0.1623698364526324,"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."}}