{"id":"W2992997256","doi":"10.21700/ijcis.2016.116","title":"HeuristicIoT: A Framework for Augmenting Heuristic Search Algorithms by Internet-of-Things Data","year":2016,"lang":"en","type":"article","venue":"International Journal of Computing and Information Sciences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Heuristic; The Internet; Algorithm; Theoretical computer science; Information retrieval; Artificial intelligence; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002458737,0.001318109,0.001548953,0.001630626,0.0006763012,0.002149024,0.003769663,0.001537905,0.006141098],"category_scores_gemma":[0.01018569,0.0006859216,0.001699304,0.001857716,0.0009203605,0.002480569,0.002644949,0.002200097,0.001104107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009580453,"about_ca_system_score_gemma":0.002371168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006366646,"about_ca_topic_score_gemma":0.008533378,"domain_scores_codex":[0.9985194,0.0006304897,0.0001000456,0.0001752633,0.0004289745,0.0001458768],"domain_scores_gemma":[0.9972867,0.001614882,0.0001486497,0.0004729671,0.0003665582,0.0001103296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001856741,0.0001872683,0.0007208826,0.0003744708,0.0001867898,0.0001578677,0.000124829,0.7241933,0.0009799899,0.07479899,0.008874511,0.1892154],"study_design_scores_gemma":[0.00002923783,0.00003077446,0.00003801563,0.00002485444,0.00001997796,0.00002600102,0.00001405487,0.9705857,0.0003784965,0.02439133,0.004451439,0.00001006082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002261179,0.0002966933,0.992126,0.0001729229,0.0001296212,0.0001112989,0.0001362316,0.001703744,0.003062327],"genre_scores_gemma":[0.1128987,0.000503347,0.8824499,0.0002280951,0.0001414555,0.0004251441,0.0004746553,0.0005657349,0.002313101],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006366646,"threshold_uncertainty_score":0.02054399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543228286497257,"score_gpt":0.3523538146347624,"score_spread":0.3069215317697898,"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."}}