{"id":"W6990808319","doi":"","title":"Emilia: Utilizing ambiguity to reduce loneliness and support remote&#13;\\nintimacy and connectedness.","year":2017,"lang":"en","type":"dissertation","venue":"OCAD University Open Research Repository (OCAD University)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Loneliness; Ambiguity; Social connectedness; Process (computing); Social support; Affect (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00199919,0.000597302,0.0002492187,0.0004355015,0.0009870351,0.00219807,0.001176398,0.0007762016,0.00651385],"category_scores_gemma":[0.00521436,0.0001783961,0.0004554062,0.0001982592,0.00106985,0.002933018,0.004986728,0.001272752,0.001045337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994647,"about_ca_system_score_gemma":0.0007554992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002263193,"about_ca_topic_score_gemma":0.00059129,"domain_scores_codex":[0.9991651,0.0004172329,0.00002747444,0.00008745627,0.0002133695,0.00008948729],"domain_scores_gemma":[0.9987395,0.000574305,0.0001610618,0.0001597744,0.000091031,0.0002742504],"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":[0.001238688,0.002318767,0.01686462,0.002129849,0.000127035,0.000709171,0.04970049,0.001335768,0.02592858,0.03821909,0.06232745,0.7991006],"study_design_scores_gemma":[0.0008788809,0.009356285,0.07783379,0.002482433,0.0006577554,0.004069543,0.05967972,0.01404135,0.05232103,0.03459819,0.7436398,0.0004412888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7289075,0.004337852,0.1346381,0.007050904,0.0008717937,0.001339168,0.0006427738,0.002934916,0.119277],"genre_scores_gemma":[0.8428657,0.001970381,0.1173069,0.001607605,0.0001507808,0.001178979,0.0004223058,0.0002078817,0.03428943],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00651385,"threshold_uncertainty_score":0.02179104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0860006164184271,"score_gpt":0.3703163808527272,"score_spread":0.2843157644343001,"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."}}