{"id":"W7105243993","doi":"10.5281/zenodo.17576264","title":"A Historical Timeline of Computation and the Emergence of Recursive Entropy Systems","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada)","funders":"","keywords":"License; Public domain; Timeline; Merge (version control); Property (philosophy); Intellectual property; Domain (mathematical analysis); Attribution; Service (business)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001767735,0.0001778959,0.0004313242,0.0004791853,0.001369833,0.0002535901,0.002340595,0.0001047284,0.0001791041],"category_scores_gemma":[0.00208407,0.0001618381,0.0000856664,0.001453623,0.001063084,0.000184954,0.00288407,0.000329606,0.0001096933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000281951,"about_ca_system_score_gemma":0.00001983063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007886594,"about_ca_topic_score_gemma":1.035448e-7,"domain_scores_codex":[0.9969679,0.0009597177,0.0007807423,0.000500991,0.0005052056,0.0002854632],"domain_scores_gemma":[0.9968783,0.0001871477,0.0006025553,0.0007287652,0.001535664,0.00006759125],"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":[0.000317241,0.0002855727,0.000006760547,0.000692268,0.0001804582,0.000006138367,0.006257333,0.003149275,0.002156918,0.4798958,0.2957457,0.2113065],"study_design_scores_gemma":[0.002039304,0.0006974418,0.0002229252,0.0005236565,0.00008941467,0.00005915176,0.0007622315,0.2323269,0.0006698791,0.005023001,0.7573102,0.0002759979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006571799,0.007935953,0.9612365,0.006256307,0.001208407,0.001169909,0.00003435192,0.0006201043,0.01496664],"genre_scores_gemma":[0.994495,0.0005273734,0.003855828,0.00002946526,0.00004798743,5.326304e-8,0.00002336215,0.0002313164,0.0007895817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9879232,"threshold_uncertainty_score":0.9999303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02545231634976642,"score_gpt":0.2440283795100063,"score_spread":0.2185760631602399,"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."}}