{"id":"W1978334997","doi":"10.1145/2669485.2669520","title":"ePlan Multi-Surface","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emergency response; Information exchange; Context (archaeology); Emergency management; Computer science; Domain (mathematical analysis); Disaster response; Emergency planning; Process (computing); Human–computer interaction; Knowledge management; Telecommunications; Medical emergency","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007648909,0.0006242694,0.0003592865,0.0003692633,0.0004730478,0.001688608,0.001357126,0.000909591,0.1777997],"category_scores_gemma":[0.002263349,0.0004389359,0.0005614137,0.0003898873,0.000472134,0.002288622,0.003196923,0.001303878,0.02991654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180426,"about_ca_system_score_gemma":0.0006366713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009925464,"about_ca_topic_score_gemma":0.00136643,"domain_scores_codex":[0.9994994,0.0001029533,0.00001809016,0.0001032776,0.0002050595,0.00007110102],"domain_scores_gemma":[0.9985764,0.0004540004,0.00004162709,0.0003173462,0.0003605117,0.0002499965],"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":[0.002406926,0.000503612,0.001929308,0.001546047,0.00008666442,0.001634818,0.003078482,0.01012822,0.1157978,0.05761318,0.3949412,0.4103338],"study_design_scores_gemma":[0.0002231352,0.0007365719,0.003530949,0.0001501299,0.00004104802,0.001009838,0.0004566808,0.02282433,0.02805575,0.008456646,0.9344301,0.00008475493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05000314,0.0007684748,0.4686511,0.001309271,0.0005777757,0.001268064,0.008517268,0.05984159,0.4090632],"genre_scores_gemma":[0.3374399,0.0008552857,0.2990521,0.0008430461,0.0001936505,0.001916472,0.01120787,0.0144613,0.3340305],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1777997,"threshold_uncertainty_score":0.5947994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543527036255533,"score_gpt":0.2551573060180737,"score_spread":0.2397220356555184,"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."}}