{"id":"W2900064552","doi":"10.1007/978-3-030-01057-7_86","title":"A Decision Support System for Automated Mushroom Harvesting","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vineland Research and Innovation Centre","funders":"","keywords":"Mushroom; Consistency (knowledge bases); Work (physics); Agricultural engineering; Labor cost; Decision support system; Automation; Bottle neck; Computer science; Business; Operations management; Agricultural science; Environmental science; Engineering; Bottle; Biology; Artificial intelligence; Botany","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":[0.0004769926,0.0008926866,0.0008048095,0.0007893054,0.0004668165,0.001244197,0.001836583,0.001089698,0.01516371],"category_scores_gemma":[0.001185638,0.0003584194,0.0004771124,0.0005365435,0.0001630995,0.001115342,0.001010212,0.0006806655,0.005621228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115055,"about_ca_system_score_gemma":0.0004230469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581812,"about_ca_topic_score_gemma":0.002599756,"domain_scores_codex":[0.9998018,0.00001784883,0.00002481879,0.00006317051,0.00007223882,0.00002019272],"domain_scores_gemma":[0.9995251,0.0002224316,0.00003108929,0.00006314972,0.0001128954,0.00004547888],"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":[0.001461579,0.0004404995,0.002848553,0.0004668022,0.0001288877,0.001020324,0.0002052292,0.01781973,0.06840256,0.002809273,0.07268656,0.8317101],"study_design_scores_gemma":[0.0002185815,0.0002937831,0.003538536,0.0001187683,0.0001806854,0.0007768883,0.0001558173,0.8431424,0.09100492,0.009556965,0.05088864,0.000124092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05344325,0.00117704,0.7684831,0.0007768268,0.0005193983,0.0005385134,0.004503077,0.1583893,0.01216951],"genre_scores_gemma":[0.3305824,0.0007734201,0.6305818,0.001123747,0.0002127524,0.0004986431,0.007821878,0.001702211,0.02670318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01516371,"threshold_uncertainty_score":0.05072773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586256807141486,"score_gpt":0.3209317044649426,"score_spread":0.2950691363935277,"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."}}