{"id":"W4210290209","doi":"10.1108/978-1-80262-365-920221004","title":"The Ecology of the Augmented Mind: Designing Immersive Human+Computer Systems","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Ecology; Human–computer interaction; Computer science; Cognitive science; Psychology; Biology","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":[0.0002919766,0.0006195554,0.0002918182,0.0001933953,0.0003967448,0.002495266,0.0008091851,0.0007254729,0.00474638],"category_scores_gemma":[0.0006354265,0.0005645975,0.000224442,0.0001826924,0.001635469,0.003024381,0.002107221,0.0009057001,0.0009666723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021709,"about_ca_system_score_gemma":0.0002848817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004894069,"about_ca_topic_score_gemma":0.001421771,"domain_scores_codex":[0.9997734,0.0001063292,0.000006701884,0.0000371028,0.00005379348,0.00002272361],"domain_scores_gemma":[0.999786,0.0001490887,0.000009826127,0.00002276064,0.00001519397,0.0000172413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001080583,0.0001381249,0.001032687,0.0009568623,0.00005569936,0.0005021344,0.00521228,0.02951099,0.0357994,0.3954374,0.01213744,0.5191089],"study_design_scores_gemma":[0.00003070172,0.0005434505,0.002536638,0.0005393607,0.00008495412,0.002157233,0.00376238,0.123064,0.02132175,0.3719822,0.4738969,0.00008037627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03833489,0.01500815,0.8422849,0.001204383,0.0002795169,0.0000718632,0.00003672402,0.0007658277,0.1020138],"genre_scores_gemma":[0.5232461,0.01148311,0.3984308,0.0004742629,0.0001713586,0.0002866423,0.00008491096,0.0002758898,0.06554694],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00474638,"threshold_uncertainty_score":0.0158782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173631470879289,"score_gpt":0.2349036109587777,"score_spread":0.2031672962499848,"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."}}