{"id":"W7096259851","doi":"","title":"Lessons from Deploying I-Help","year":2001,"lang":"en","type":"article","venue":"","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Focus (optics); Private sector; Key (lock)","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":[0.0113566,0.0007166492,0.0003372533,0.0006275154,0.002215407,0.005265113,0.004794077,0.002407748,0.003083535],"category_scores_gemma":[0.03974527,0.0005751167,0.0003623784,0.0007423649,0.003457709,0.01068027,0.003759264,0.003874526,0.002281707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062585,"about_ca_system_score_gemma":0.002086146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660713,"about_ca_topic_score_gemma":0.01386974,"domain_scores_codex":[0.993679,0.003376705,0.0002766114,0.0006568934,0.001378222,0.0006326639],"domain_scores_gemma":[0.9761491,0.01312913,0.0005742959,0.003891568,0.003846186,0.002409773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003591323,0.0009623251,0.02259428,0.001050374,0.00005872265,0.002802999,0.04553969,0.01463652,0.006816918,0.08200116,0.1629892,0.6601887],"study_design_scores_gemma":[0.0003058979,0.0008979674,0.01410538,0.001249502,0.00006542831,0.002927349,0.08174835,0.02728271,0.01034143,0.074985,0.7858882,0.0002028239],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2734018,0.003982491,0.2382752,0.245746,0.002985931,0.001003065,0.0004340119,0.01833438,0.2158372],"genre_scores_gemma":[0.6921531,0.005176112,0.2550772,0.01113431,0.001116022,0.000501066,0.000829702,0.006018406,0.02799399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660713,"threshold_uncertainty_score":0.0600602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08470309840813593,"score_gpt":0.2731852764772933,"score_spread":0.1884821780691574,"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."}}