{"id":"W2273120018","doi":"10.12968/sece.2005.3.396","title":"The appliance of science","year":2005,"lang":"en","type":"article","venue":"SecEd","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954461,0.00004543123,0.00005001295,0.000007404522,0.000175003,0.00002441861,0.0005439834,0.00002542944,0.0002251622],"category_scores_gemma":[0.0001770167,0.00003264993,0.00002198384,0.0001473371,0.0006401009,0.00004566843,0.00009551094,0.0001205966,0.00003353439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005555757,"about_ca_system_score_gemma":0.0001312406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006248307,"about_ca_topic_score_gemma":0.000009431102,"domain_scores_codex":[0.9992347,0.000002122118,0.00009979953,0.0001234169,0.0003090429,0.0002309658],"domain_scores_gemma":[0.9993951,0.00004786999,0.00003809514,0.0003825794,0.00008012848,0.00005616756],"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":[0.000005862219,0.00001194048,0.0002638605,0.00002236845,0.000003268321,4.380379e-7,0.00007904693,0.00001112561,0.9817855,0.001063864,0.0004357389,0.01631701],"study_design_scores_gemma":[0.0001048469,0.000001961292,0.00007448091,0.000006677653,0.000001002737,0.000002313538,0.00007460505,0.0005635826,0.9296558,0.0002159739,0.06926106,0.00003770578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.749641,0.0001672034,0.00001959206,0.0008350722,0.00002079859,0.00002807868,0.000004141288,0.00003200757,0.2492521],"genre_scores_gemma":[0.9873073,0.00002228044,0.0003149014,0.00001544598,0.0001090803,0.000006396416,7.219275e-7,0.000004648552,0.01221928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2376662,"threshold_uncertainty_score":0.2465368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243657258741377,"score_gpt":0.2874517670176208,"score_spread":0.275015194430207,"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."}}