{"id":"W4402469307","doi":"10.1016/j.cattod.2024.115039","title":"10th International Symposium on Group IV, V, VI elements","year":2024,"lang":"en","type":"article","venue":"Catalysis Today","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Group (periodic table); Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759201,0.001534789,0.0008629502,0.00186857,0.001665409,0.003721198,0.001816421,0.002611174,0.1087319],"category_scores_gemma":[0.001289116,0.000514405,0.001000398,0.0009740963,0.00125938,0.002469689,0.003400046,0.00348431,0.05724484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451755,"about_ca_system_score_gemma":0.003096569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321612,"about_ca_topic_score_gemma":0.002606871,"domain_scores_codex":[0.9986655,0.0001775039,0.00006915349,0.0002861722,0.000541953,0.0002597653],"domain_scores_gemma":[0.9990804,0.00007183009,0.00006511315,0.0001032771,0.0004044215,0.0002748311],"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":[0.0002720255,0.0001126723,0.0004700421,0.0009349143,0.00004256904,0.0003559238,0.0002091887,0.00067683,0.01796428,0.04901343,0.6812031,0.248745],"study_design_scores_gemma":[0.00000340447,0.00004593455,0.0001390317,0.00009519121,0.000005043323,0.000155564,0.00002256446,0.00006788841,0.001836625,0.002301458,0.9953195,0.000007823269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005812099,0.150723,0.0222993,0.02145354,0.1466761,0.0003626971,0.001978795,0.001609364,0.649085],"genre_scores_gemma":[0.03711556,0.07584362,0.01421994,0.005387648,0.02598209,0.0004121405,0.003029904,0.0009625684,0.8370466],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1087319,"threshold_uncertainty_score":0.3637444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009172352067154214,"score_gpt":0.2736866323640733,"score_spread":0.264514280296919,"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."}}