{"id":"W4403280277","doi":"10.1016/j.ifacol.2024.09.084","title":"Towards a Framework for AI Applications in Intralogistics","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Data science","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":[0.006293214,0.001113685,0.0007740806,0.002224391,0.001560088,0.005995443,0.003677286,0.002329689,0.005204411],"category_scores_gemma":[0.006871867,0.0007881915,0.001696727,0.002169207,0.005669497,0.005819245,0.005354271,0.004624164,0.002422736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002454399,"about_ca_system_score_gemma":0.00550502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006157207,"about_ca_topic_score_gemma":0.007084738,"domain_scores_codex":[0.9962606,0.002215666,0.0002686145,0.0004254196,0.0006512906,0.000178317],"domain_scores_gemma":[0.9962054,0.001955771,0.0002289652,0.0005971016,0.0006861758,0.0003264519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001154036,0.00003084402,0.0001661895,0.00008752179,0.00001418497,0.00005790252,0.0003405782,0.03385057,0.0003737703,0.9418176,0.001956928,0.0212922],"study_design_scores_gemma":[0.00001297205,0.00002758585,0.0001174246,0.0001456479,0.000009586542,0.00007154475,0.0002034268,0.1768311,0.0003916068,0.7569314,0.06523623,0.00002146079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007188505,0.0003454407,0.9913958,0.001250828,0.00004938874,0.00005154813,0.00003003477,0.0002099015,0.005948204],"genre_scores_gemma":[0.04399632,0.0007959387,0.9517991,0.0003332724,0.0001288761,0.0003061283,0.0001584621,0.0001349749,0.002346872],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006293214,"threshold_uncertainty_score":0.03328204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582025830690563,"score_gpt":0.2929935520937094,"score_spread":0.2771732937868037,"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."}}