{"id":"W7160111657","doi":"10.5281/zenodo.14857100","title":"Показники оксидативно-нітрозативного стресу чоловіків, постраждалих внаслідок бойових дій","year":2023,"lang":"uk","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Yield (engineering); Field (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005705283,0.0008069432,0.0006143621,0.002936614,0.004616877,0.01608099,0.001359319,0.002814246,0.04496462],"category_scores_gemma":[0.01180306,0.0007551969,0.0009140025,0.002776857,0.01041035,0.009040532,0.005769801,0.004790211,0.0204604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005416026,"about_ca_system_score_gemma":0.01388522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00832904,"about_ca_topic_score_gemma":0.01101313,"domain_scores_codex":[0.9919024,0.002353553,0.0004781484,0.0009671269,0.003441928,0.0008567747],"domain_scores_gemma":[0.9926052,0.001816318,0.000655293,0.0009105108,0.002941403,0.001071266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008276686,0.00009535624,0.004587406,0.0007238819,0.00004546812,0.0004831728,0.01046809,0.0004786619,0.001449367,0.7760575,0.07094657,0.1345817],"study_design_scores_gemma":[0.00001656611,0.00003303388,0.003043262,0.0006995315,0.00003366587,0.000466605,0.005548647,0.00029072,0.001019527,0.1223115,0.866482,0.00005482341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01752466,0.02051292,0.03411077,0.04543633,0.003831878,0.0002619128,0.0008978116,0.0005440198,0.8768798],"genre_scores_gemma":[0.5591069,0.03305314,0.05744789,0.009697556,0.002902504,0.0009043954,0.001530595,0.001179862,0.334177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04496462,"threshold_uncertainty_score":0.1504216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776277920040806,"score_gpt":0.2552659292940854,"score_spread":0.2075031500936774,"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."}}