{"id":"W4409885179","doi":"10.1145/3706598.3713787","title":"Unpacking Trust Dynamics in the LLM Supply Chain: An Empirical Exploration to Foster Trustworthy LLM Production &amp; Use","year":2025,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"","keywords":"Unpacking; Trustworthiness; Supply chain; Production (economics); Computer science; Empirical research; Dynamics (music); Process management; Knowledge management; Business; Computer security; Microeconomics; Sociology; Marketing; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006686751,0.0001398316,0.0001365558,0.0003365295,0.0002280718,0.0002334336,0.000875357,0.0001461359,0.000005726147],"category_scores_gemma":[0.00009969834,0.0001074949,0.00003579424,0.001823027,0.00005645311,0.0007329297,0.0002258586,0.0002784505,0.00001939412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399681,"about_ca_system_score_gemma":0.00005164272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005725997,"about_ca_topic_score_gemma":0.004938841,"domain_scores_codex":[0.998585,0.0001366999,0.0002751411,0.0005742444,0.0001736173,0.0002553116],"domain_scores_gemma":[0.9985267,0.00007395395,0.00004834154,0.001214633,0.00009727163,0.00003912057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002802967,0.00109123,0.04085742,0.00001702309,0.0000163201,0.000004074591,0.009046578,0.0009708832,0.0001423253,0.7700587,0.01499028,0.1627771],"study_design_scores_gemma":[0.0007763837,0.0003917669,0.05338077,0.0000669652,0.00002577057,0.00004316209,0.004635048,0.6705636,0.001752972,0.1509467,0.1165582,0.0008586667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3312615,0.00001049237,0.5564265,0.1108948,0.0001742851,0.0005848272,0.000001755266,0.0002104949,0.0004352524],"genre_scores_gemma":[0.9697525,0.00000977335,0.02422777,0.005111292,0.0000471865,0.000280913,0.00002567136,0.000006406633,0.0005384702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6695927,"threshold_uncertainty_score":0.4383515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080086819508407,"score_gpt":0.305080282514591,"score_spread":0.264279414319507,"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."}}