{"id":"W7093365202","doi":"10.5281/zenodo.17413665","title":"Méta-Genèse. Vers une biologie sans matière, fondée sur une logique pure : Invariants numériques multi-échelles et propriétés fractales du code génétique","year":2025,"lang":"fr","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Perspective (graphical); Domain (mathematical analysis); Biological evolution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001221109,0.0007674675,0.0007402005,0.0004076893,0.001686366,0.001086204,0.002543448,0.00112886,0.002865076],"category_scores_gemma":[0.003446809,0.0007584429,0.0003550075,0.001213126,0.0008468181,0.0001136656,0.002975216,0.001141506,0.001563073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294007,"about_ca_system_score_gemma":0.0001337245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190031,"about_ca_topic_score_gemma":0.0004115902,"domain_scores_codex":[0.9945094,0.001750008,0.0008756049,0.001521174,0.0004568702,0.0008869207],"domain_scores_gemma":[0.9962632,0.00009685961,0.0005268971,0.001436127,0.001331278,0.000345622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003300362,0.0009446201,0.00003411059,0.00061218,0.0009065276,0.0001849897,0.0004142434,0.0003428962,0.0804524,0.00124346,0.904088,0.01044652],"study_design_scores_gemma":[0.0008922855,0.0007401231,0.0001253481,0.0002823236,0.0001819989,0.0001090613,0.00106453,0.00036621,0.01693355,0.0002140729,0.978299,0.0007915522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02533091,0.005323703,0.03265833,0.02064253,0.0008526941,0.003398221,0.8898934,0.0009052281,0.02099499],"genre_scores_gemma":[0.1403714,0.02025516,0.0007785867,0.0009665356,0.0003507473,0.000001151543,0.834278,0.000789885,0.00220856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1150405,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249825258328902,"score_gpt":0.2846003401665091,"score_spread":0.2521020875832201,"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."}}