{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001132436,0.0001724045,0.0002223725,0.00002469823,0.00007005955,0.00005380101,0.0001224837,0.0001315,0.0007127384],"category_scores_gemma":[0.0001231265,0.0001659464,0.00005689066,0.00006285267,0.0001030327,0.0001454453,0.0001904852,0.0000898126,0.0004794052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072354,"about_ca_system_score_gemma":0.00005882053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007697713,"about_ca_topic_score_gemma":0.00001423932,"domain_scores_codex":[0.9990227,0.000004632794,0.0002067951,0.0003059357,0.0001949592,0.0002649807],"domain_scores_gemma":[0.9991532,0.00003232888,0.00006673764,0.0004104526,0.00006731282,0.0002699439],"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":[0.00002733435,0.00003584165,0.02042218,0.00006617308,0.00003260949,0.000006798077,0.0003305536,1.973868e-7,0.9439298,0.0000512132,0.03494534,0.0001519921],"study_design_scores_gemma":[0.0005307686,0.000007234769,0.0008066678,0.00001481209,0.00002595328,0.0001477397,0.0001198067,0.00004259198,0.7850988,0.000148309,0.2128717,0.0001856233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590214,0.000346013,0.000005895082,0.0002070326,0.0002230552,0.00004319296,0.0000315166,0.0001702935,0.03995158],"genre_scores_gemma":[0.9816138,0.00001126527,0.0004763525,0.0000433881,0.0002746323,0.00002116451,0.0000763296,0.00003498415,0.01744813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1779264,"threshold_uncertainty_score":0.7803985,"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."}}