{"id":"W2009497181","doi":"10.3115/1599503.1599510","title":"Manifesting embodiment","year":2009,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Leverage (statistics); Construct (python library); Computer science; SPARK (programming language); Human–computer interaction; Knowledge management; Cognitive science; Artificial intelligence; Psychology","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":[0.01059383,0.0007778929,0.0004197465,0.001567175,0.002633114,0.009153577,0.001293021,0.002525033,0.007110423],"category_scores_gemma":[0.0148809,0.0005768677,0.0005645728,0.0009440276,0.01905021,0.01330105,0.0117009,0.002750733,0.0007739231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130062,"about_ca_system_score_gemma":0.002197853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419177,"about_ca_topic_score_gemma":0.001487573,"domain_scores_codex":[0.9901521,0.006281888,0.0004201086,0.0008930164,0.001800531,0.0004524577],"domain_scores_gemma":[0.9911246,0.00501574,0.0005898361,0.002217195,0.0007422078,0.000310393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000287184,0.0000205591,0.0007480594,0.0002298043,0.00001516396,0.0002256319,0.03940684,0.0009154125,0.003633312,0.9093276,0.002820645,0.04262822],"study_design_scores_gemma":[0.00004375833,0.0001715726,0.001092436,0.0007019095,0.00005899399,0.0009085295,0.02127957,0.00369074,0.0116154,0.3684845,0.5918685,0.00008416952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09455675,0.005010668,0.6372475,0.02029559,0.0008417295,0.0003062749,0.0002276521,0.001289597,0.2402242],"genre_scores_gemma":[0.821583,0.002736606,0.1417779,0.001542315,0.0001917044,0.0003710777,0.000213499,0.0003692966,0.03121455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01059383,"threshold_uncertainty_score":0.05602622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137605292096367,"score_gpt":0.2685942430823365,"score_spread":0.2548337138726998,"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."}}