{"id":"W6949541527","doi":"10.5281/zenodo.15270544","title":"Results of paper \"Cesogen: Cellular solid generator\"","year":2025,"lang":"es","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological Formations and Processes Exploration","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Work (physics); Feature (linguistics); Process (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009400392,0.003504884,0.001455118,0.002402888,0.0007797899,0.002081565,0.002410601,0.002658767,0.06888591],"category_scores_gemma":[0.005589535,0.0007169139,0.002016566,0.003127489,0.0005569983,0.001572539,0.001403051,0.00173024,0.09145129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407274,"about_ca_system_score_gemma":0.002387165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02624139,"about_ca_topic_score_gemma":0.04560658,"domain_scores_codex":[0.9986249,0.0002052773,0.0001058204,0.000333624,0.0005045505,0.0002258511],"domain_scores_gemma":[0.9976934,0.0006327611,0.0001205598,0.0007883439,0.0005392167,0.0002256613],"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":[0.0001208435,0.000032872,0.000434,0.0003782392,0.00002990205,0.00001791469,0.000008862706,0.001580401,0.0001564652,0.0003419016,0.9942375,0.002660972],"study_design_scores_gemma":[0.0007467722,0.00005973625,0.003791082,0.0002342916,0.00008092294,0.00009183896,0.00008451851,0.006537965,0.002043675,0.00511621,0.9811514,0.00006143712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004133887,0.00009024513,0.0001933928,0.0001335081,0.00007905249,0.0000135311,0.996029,0.001981335,0.001066525],"genre_scores_gemma":[0.0009043632,0.00005368921,0.0004580269,0.00005217512,0.00001066115,0.00003941702,0.9973712,0.0002228569,0.0008876187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06888591,"threshold_uncertainty_score":0.2304463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968139171669575,"score_gpt":0.2317510830440968,"score_spread":0.202069691327401,"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."}}