{"id":"W4401444364","doi":"10.1007/s10967-024-09621-4","title":"11 ICI: some related papers","year":2024,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories; University of Saskatchewan","funders":"","keywords":"Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001367664,0.00103908,0.001055018,0.005283917,0.002404068,0.006869381,0.001881119,0.002252443,0.1514006],"category_scores_gemma":[0.009066447,0.0004227949,0.001224161,0.009185866,0.0009776293,0.003601397,0.002156927,0.003715081,0.05909267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005145261,"about_ca_system_score_gemma":0.002998925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00665464,"about_ca_topic_score_gemma":0.005249583,"domain_scores_codex":[0.998086,0.0003048093,0.0001313094,0.0004332272,0.0007983136,0.0002463332],"domain_scores_gemma":[0.9952247,0.001049294,0.0002424345,0.0008078993,0.002134952,0.0005407596],"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":[0.0001434391,0.0001152799,0.0003761959,0.0007773661,0.00004073095,0.00015612,0.00005300011,0.0007993986,0.0006488645,0.04377805,0.8413622,0.1117494],"study_design_scores_gemma":[0.0000287076,0.00002785383,0.0007808553,0.0003688526,0.00004150633,0.0001930405,0.00007733805,0.0008154831,0.0005545052,0.0270486,0.9700422,0.00002095152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003207613,0.08895142,0.01730761,0.05964741,0.1345614,0.0002499727,0.006132755,0.001007685,0.688934],"genre_scores_gemma":[0.05580304,0.06245199,0.01784577,0.03000323,0.1152583,0.0003067325,0.0145953,0.001667666,0.702068],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8485994,"threshold_uncertainty_score":0.5064855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005930276298703681,"score_gpt":0.2109580474207429,"score_spread":0.2050277711220392,"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."}}