{"id":"W4405783345","doi":"10.48550/arxiv.2412.17930","title":"Runs in Paperfolding Sequences","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001705829,0.0001887657,0.0001855165,0.0002709342,0.00008099108,0.0001869469,0.001567124,0.0001640783,0.00002127598],"category_scores_gemma":[0.000007110932,0.0002154943,0.0001244621,0.0008449701,0.0000613153,0.0001649081,0.002532554,0.0005406638,0.0003168329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637341,"about_ca_system_score_gemma":0.0001974099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002561514,"about_ca_topic_score_gemma":0.0001450423,"domain_scores_codex":[0.998583,0.00003927042,0.0001489044,0.0009229714,0.00006121598,0.0002446694],"domain_scores_gemma":[0.9988764,0.00005556815,0.00007180658,0.0008862242,0.00002905276,0.00008093962],"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":[0.000001394022,0.0000485113,0.0006485251,0.0001023251,0.0000301838,0.0005915079,0.000365958,0.04266954,0.0007162009,0.9525926,0.000180433,0.002052786],"study_design_scores_gemma":[0.0001045706,0.000009203396,0.0008296464,0.0001546934,0.00002583051,0.000006011318,0.00005705023,0.698708,0.0003654266,0.2977385,0.00165717,0.0003438957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8131422,0.0004146217,0.1622847,0.0006125321,0.0006993207,0.0003524386,0.00001560506,0.0007086699,0.0217699],"genre_scores_gemma":[0.997265,0.0001560135,0.001126347,0.00004662802,0.00004031033,0.000002136995,0.000008816674,0.00001041992,0.001344323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6560385,"threshold_uncertainty_score":0.8787602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06660251697708025,"score_gpt":0.1907273914679299,"score_spread":0.1241248744908496,"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."}}