{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001225548,0.0002010758,0.0002005102,0.0001579723,0.0001499549,0.0006832843,0.0008784936,0.00006004265,0.006428372],"category_scores_gemma":[0.0001561545,0.0001643444,0.0001025274,0.0003207223,0.0001076875,0.0003998623,0.0001784658,0.0001428502,0.007286108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471584,"about_ca_system_score_gemma":0.00003090101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006832847,"about_ca_topic_score_gemma":0.00001046621,"domain_scores_codex":[0.9977533,0.0001115344,0.0003826538,0.0007079733,0.0006923692,0.0003521735],"domain_scores_gemma":[0.9991443,0.0001150114,0.00009380816,0.0004943162,0.00004773998,0.0001048027],"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":[0.00001696379,0.00006025828,0.0004250929,0.00003163699,0.00002346496,0.0000357324,0.0002930554,0.0007991529,0.9890887,0.002944486,0.004183475,0.002097993],"study_design_scores_gemma":[0.000516899,0.0002589667,0.002383274,0.0003116687,0.0001314027,0.00004610067,0.00009582106,0.0358478,0.5832813,0.001200879,0.3750019,0.0009240267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602172,0.000115154,0.003278754,0.003210226,0.008758595,0.0002209987,0.00009162278,0.0006269926,0.0234804],"genre_scores_gemma":[0.9927937,0.00001848943,0.002050233,0.0004426354,0.0005135582,0.00004415389,0.0001283924,0.0000293362,0.003979485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4058074,"threshold_uncertainty_score":0.9944799,"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."}}