{"id":"W2027260883","doi":"10.1145/1460563.1460615","title":"Asymmetry in media spaces","year":2008,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asymmetry; Computer-supported cooperative work; Space (punctuation); Context (archaeology); Value (mathematics); Focus (optics); Computer science; Epistemology; Theme (computing); Sociology; Divergence (linguistics); Homogeneous space; Work (physics); Mathematics; Physics; Linguistics; World Wide Web; History; Philosophy","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":[0.005917405,0.0007121592,0.0005981709,0.002880604,0.005675954,0.01605221,0.001409705,0.002188266,0.01106051],"category_scores_gemma":[0.02553124,0.0006397786,0.0006941626,0.002274748,0.01671113,0.02649091,0.01524987,0.002511383,0.00162979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115631,"about_ca_system_score_gemma":0.001975941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122163,"about_ca_topic_score_gemma":0.0007750309,"domain_scores_codex":[0.9887839,0.005782632,0.0008120298,0.001141004,0.002374623,0.001105805],"domain_scores_gemma":[0.9805542,0.009751523,0.002258723,0.004521343,0.001865103,0.001049085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009189909,0.00001638128,0.001593369,0.0001617417,0.0000146149,0.0002591408,0.02445256,0.000572061,0.001523859,0.9351543,0.001805717,0.03435436],"study_design_scores_gemma":[0.00005468596,0.0001023236,0.002088593,0.000416666,0.00006341009,0.001285626,0.02368563,0.00218879,0.002962931,0.7720466,0.1950233,0.00008143012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1686233,0.004461782,0.2845979,0.01267343,0.0009119119,0.0002479518,0.0003866909,0.0008045553,0.5272925],"genre_scores_gemma":[0.9678305,0.0009783851,0.01892499,0.0006066676,0.0002905473,0.0002111774,0.0001215293,0.0001719093,0.01086434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01605221,"threshold_uncertainty_score":0.03700107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905856605228805,"score_gpt":0.2586733543932572,"score_spread":0.2296147883409691,"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."}}