{"id":"W4414833938","doi":"10.29173/alr2848","title":"Vavilov and Generative AI","year":2025,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Generative grammar; Set (abstract data type); Citizenship; Basis (linear algebra); Generative model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006870227,0.0003961556,0.0006070168,0.002415098,0.002115415,0.004433586,0.001525011,0.002985877,0.003796572],"category_scores_gemma":[0.01189766,0.0003283416,0.001058298,0.001439753,0.02059908,0.004798438,0.002190345,0.005048503,0.0008111084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009089674,"about_ca_system_score_gemma":0.00571715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065005,"about_ca_topic_score_gemma":0.007853485,"domain_scores_codex":[0.9931173,0.00377748,0.000311739,0.0008337502,0.001457654,0.0005020775],"domain_scores_gemma":[0.9890283,0.008479666,0.0004806095,0.001049325,0.0007254737,0.0002366239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002248179,0.000001897204,0.00004013748,0.00001819063,0.000002877342,0.000008199934,0.00007077599,0.0004864488,0.00001469749,0.9961133,0.0005424426,0.002698742],"study_design_scores_gemma":[0.000004715411,0.000005041568,0.00009455741,0.00005767025,0.000003699503,0.00002496851,0.00004410692,0.001009517,0.00007138031,0.9713428,0.02733566,0.000005807449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01906884,0.08518799,0.1631983,0.08839554,0.001252376,0.00009671164,0.0001404573,0.0003145748,0.6423453],"genre_scores_gemma":[0.9077983,0.02372493,0.03301049,0.01135537,0.001097832,0.0002054843,0.000128458,0.0001749865,0.02250417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98935,"threshold_uncertainty_score":0.06595051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199585371072098,"score_gpt":0.2856844672051997,"score_spread":0.2736886134944787,"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."}}