{"id":"W4386387794","doi":"10.52340/ns.2022.25","title":"Some of 2021 nanoforums: ANM, ICANM, IMS, GTU nano, and HMT","year":2023,"lang":"en","type":"article","venue":"","topic":"Industrial Engineering and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Exhibition; Political science; Geography; Archaeology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00008971334,0.0001075361,0.0001627901,0.0001607338,0.00002402867,0.00001148587,0.00009808013,0.0001438022,0.00003586169],"category_scores_gemma":[0.00004810439,0.00009761254,0.00002996153,0.0003365436,0.00003966601,0.00007498265,0.00005755407,0.0001102188,0.00004466784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001537481,"about_ca_system_score_gemma":0.000008083934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003224428,"about_ca_topic_score_gemma":0.000003496244,"domain_scores_codex":[0.9994197,0.000003020042,0.0001477281,0.0001023481,0.00008006304,0.0002471141],"domain_scores_gemma":[0.9997306,0.00003878812,0.00001113736,0.0001753214,0.00001265264,0.00003148672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001974633,0.00004573985,0.001267586,0.0006413651,0.0004254929,0.00006999559,0.000431045,0.07616149,0.473307,0.1978817,0.1127856,0.1369633],"study_design_scores_gemma":[0.001586159,0.0002395695,0.002661542,0.0002232633,0.00004900271,0.00002143542,0.001320345,0.07147428,0.8460922,0.007200744,0.06806781,0.001063652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886024,0.0009155917,0.0002687424,0.0003432891,0.0007811005,0.0001382543,0.00002206443,0.002733629,0.006194926],"genre_scores_gemma":[0.9978719,0.0005651124,0.0003993722,0.000005937281,0.00008573447,0.000009904821,0.000004546306,0.00002382101,0.001033713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3727852,"threshold_uncertainty_score":0.3980524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022429612200137,"score_gpt":0.1886887217597498,"score_spread":0.1784644256377484,"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."}}