{"id":"W4367840662","doi":"10.1016/j.matt.2023.03.035","title":"Homo deus: I am not a robot AI materials chemist","year":2023,"lang":"it","type":"article","venue":"Matter","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemist; Experiential learning; Complement (music); Engineering ethics; Artificial intelligence; Computer science; Engineering; Psychology; Chemistry; Mathematics education","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003311635,0.000802509,0.001021986,0.0003154875,0.0006472145,0.002518067,0.002064611,0.000379868,0.1058574],"category_scores_gemma":[0.0004300429,0.0007565546,0.0001784281,0.0009935767,0.0006548043,0.0006636461,0.001484746,0.000392301,0.2084057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703323,"about_ca_system_score_gemma":0.0001669286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006158969,"about_ca_topic_score_gemma":0.00001117056,"domain_scores_codex":[0.9932129,0.000624669,0.001271112,0.001694372,0.001238935,0.00195806],"domain_scores_gemma":[0.9969509,0.0002407204,0.0005500008,0.001708021,0.0001785871,0.0003718091],"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":[0.00007877612,0.00006489718,0.001633001,0.0004506519,0.00001615034,0.0001143965,0.0006714643,0.0008876975,0.8950199,0.0001193309,0.1008878,0.0000558647],"study_design_scores_gemma":[0.0006732676,0.0001009655,0.03272866,0.000366425,0.00007283513,0.00009279537,0.00009753729,0.001011977,0.9375553,0.0004834756,0.02564421,0.001172537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629225,0.00003247333,0.0005383898,0.02175018,0.00777584,0.0007064708,0.0005123244,0.0009243458,0.004837446],"genre_scores_gemma":[0.9370775,0.00003093659,0.001527728,0.01049709,0.001519366,0.0001639031,0.000113108,0.0001883078,0.04888209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025483,"threshold_uncertainty_score":0.9994885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540139293889338,"score_gpt":0.2809569227374739,"score_spread":0.2655555297985805,"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."}}