{"id":"W6910341637","doi":"10.48336/n0vc-pj94","title":"Designing a cased based reasoning decision support system for ice management operations using expert knowledge","year":2021,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Decision support system; Knowledge base; Expert system; Bridge (graph theory); Context (archaeology); Evidential reasoning approach; Knowledge-based systems","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":[0.002916839,0.0007077695,0.0006680568,0.00181857,0.001025083,0.003555469,0.00227549,0.001905405,0.008329868],"category_scores_gemma":[0.007846399,0.0007843101,0.0009063045,0.001084927,0.0004899872,0.002654781,0.001790083,0.0009757557,0.002296743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019214,"about_ca_system_score_gemma":0.001512766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321077,"about_ca_topic_score_gemma":0.002549342,"domain_scores_codex":[0.9988089,0.0003653964,0.0001962064,0.0002387177,0.000303612,0.00008716118],"domain_scores_gemma":[0.9970715,0.001909452,0.0001808472,0.0002515258,0.0004584446,0.0001282093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009778985,0.002375248,0.008780609,0.001685082,0.0002731356,0.005188342,0.007504818,0.2713959,0.05059966,0.03967436,0.02049763,0.5910473],"study_design_scores_gemma":[0.0003328496,0.0003442453,0.001603336,0.0004143113,0.0001531259,0.0008777878,0.001433576,0.9139436,0.01978265,0.015067,0.04592443,0.0001230401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05915397,0.0001517313,0.916765,0.0008429894,0.00009362856,0.002314459,0.0007328221,0.005870133,0.01407534],"genre_scores_gemma":[0.1458717,0.0002127793,0.8483568,0.0001761622,0.00002441497,0.0009251927,0.0009883165,0.0001180808,0.003326511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008329868,"threshold_uncertainty_score":0.02786618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05431726535231723,"score_gpt":0.2957722962523207,"score_spread":0.2414550309000035,"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."}}