{"id":"W2020000245","doi":"10.1002/cplu.201402421","title":"Eighty Volumes and Still Young at Heart","year":2015,"lang":"en","type":"article","venue":"ChemPlusChem","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Nanotechnology; Chemistry; Art history; Polymer science; Computer science; Materials science; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003173544,0.001692208,0.001858088,0.003432063,0.003263515,0.01482799,0.002485376,0.003839422,0.3557467],"category_scores_gemma":[0.0127337,0.0007863138,0.0009933468,0.00306931,0.001760518,0.0101356,0.006911852,0.005748409,0.2317941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776803,"about_ca_system_score_gemma":0.002756658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006075106,"about_ca_topic_score_gemma":0.001141977,"domain_scores_codex":[0.9966983,0.0003405987,0.0001556352,0.0003703686,0.002016738,0.0004183864],"domain_scores_gemma":[0.9899603,0.001586562,0.0004688313,0.0007211299,0.003751128,0.003511967],"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":[0.00002056014,0.00001447118,0.00003722471,0.00009429468,0.000002431535,0.00002043839,0.0000452304,0.00000934942,0.0001765005,0.001779896,0.9675304,0.03026913],"study_design_scores_gemma":[0.000002016347,0.000007428145,0.00006117464,0.00006419099,0.000001165286,0.00002715931,0.0000485171,0.000007234225,0.00002916797,0.0004534241,0.9992952,0.000003245673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0008553108,0.04930416,0.001552182,0.1031479,0.6620702,0.0001143368,0.00137053,0.001690672,0.1798946],"genre_scores_gemma":[0.003032917,0.02185189,0.001160858,0.03677098,0.223114,0.0001045322,0.00179083,0.001119,0.711055],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3557467,"threshold_uncertainty_score":0.9189491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567041789938672,"score_gpt":0.2449632276251344,"score_spread":0.2192928097257476,"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."}}