{"id":"W2085712369","doi":"10.1145/1357054.1357186","title":"Collaborating to remember","year":2008,"lang":"en","type":"article","venue":"","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001382558,0.0005626616,0.0003193287,0.001058203,0.002423846,0.00496734,0.0009596805,0.00117416,0.0208956],"category_scores_gemma":[0.009401863,0.0002703825,0.0007887227,0.0006338406,0.002692402,0.007472174,0.005149468,0.001751087,0.005474607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005924826,"about_ca_system_score_gemma":0.001217336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244364,"about_ca_topic_score_gemma":0.002200643,"domain_scores_codex":[0.9985328,0.0004406615,0.0001038007,0.0004136486,0.0003132265,0.0001958731],"domain_scores_gemma":[0.9958806,0.0009188512,0.0004471474,0.001387395,0.0006705021,0.0006955844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001671718,0.0002252943,0.03221628,0.0008275521,0.0002785318,0.002701896,0.2132072,0.001406228,0.020802,0.16981,0.05170482,0.506653],"study_design_scores_gemma":[0.00004149375,0.000370668,0.01955576,0.0006681149,0.0003070891,0.005113749,0.06982756,0.002167419,0.00977109,0.1261538,0.7658476,0.0001757483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3259698,0.004640599,0.1367073,0.01799395,0.001403076,0.0002659223,0.0004110323,0.002214748,0.5103937],"genre_scores_gemma":[0.8894956,0.001760757,0.0389661,0.001629116,0.0001877886,0.0001163793,0.0004130331,0.0002731584,0.06715803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0208956,"threshold_uncertainty_score":0.06990272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1796026507211537,"score_gpt":0.4952749799405974,"score_spread":0.3156723292194437,"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."}}