{"id":"W7124591200","doi":"10.5281/zenodo.18278779","title":"ससकतकपरमपरसरकषण ससकतसयवदनम","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001169382,0.0004850056,0.0002198125,0.0007776057,0.002075519,0.006372661,0.0006815942,0.001222005,0.06479608],"category_scores_gemma":[0.003623393,0.0002186159,0.0003145015,0.0008833909,0.003281952,0.003732141,0.001705107,0.001717485,0.02499441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00235112,"about_ca_system_score_gemma":0.003473659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005528452,"about_ca_topic_score_gemma":0.004080114,"domain_scores_codex":[0.9987595,0.0002531892,0.00005410904,0.0002336105,0.0005391451,0.0001605658],"domain_scores_gemma":[0.9986222,0.0003111839,0.00009757029,0.0001816543,0.0006218039,0.000165584],"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":[0.00006877035,0.00004750427,0.001140781,0.0001619418,0.00001906279,0.0001807341,0.003957817,0.0003561283,0.000974326,0.789246,0.06404303,0.1398039],"study_design_scores_gemma":[0.0000150942,0.000034487,0.001358319,0.000141758,0.00001741851,0.0002225414,0.003183628,0.0002493261,0.001006542,0.1461801,0.847568,0.00002279049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009265687,0.001595028,0.009068847,0.0100122,0.002035521,0.00007355289,0.0002323344,0.0001331949,0.9675837],"genre_scores_gemma":[0.3184015,0.003515247,0.01031784,0.004497411,0.0009977748,0.0002023419,0.0004930091,0.0002200716,0.6613548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06479608,"threshold_uncertainty_score":0.2167645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872709364482261,"score_gpt":0.2268380581260866,"score_spread":0.208110964481264,"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."}}