{"id":"W2074027356","doi":"10.1002/chin.200644241","title":"High Throughput Screening Methods for Asymmetric Synthesis","year":2006,"lang":"en","type":"article","venue":"ChemInform","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Throughput; Service (business); Combinatorial chemistry; Nanotechnology; Telecommunications; Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.002263605,0.0002164413,0.0003331403,0.0001305714,0.0002749987,0.0002476876,0.0006352167,0.0001085549,0.0007729414],"category_scores_gemma":[0.001741605,0.0001854405,0.00010092,0.0004198434,0.0001401463,0.0004097153,0.0001664558,0.00008276229,0.000169984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006841448,"about_ca_system_score_gemma":0.00004315969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003928284,"about_ca_topic_score_gemma":0.00000321203,"domain_scores_codex":[0.9983175,0.000006627959,0.0004513453,0.0004053515,0.0002702328,0.0005489147],"domain_scores_gemma":[0.9980814,0.001044519,0.0002646644,0.00042716,0.0001076823,0.00007452154],"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":[0.00004493435,0.00003821548,0.0001004623,0.0001356514,0.000005919733,0.000001421998,0.00007943901,0.0004140714,0.5232387,0.007522109,0.01063176,0.4577874],"study_design_scores_gemma":[0.0001966709,0.00002836742,0.0007147494,0.00002630993,0.00001982153,0.000009373688,0.00002329926,0.001617516,0.9639469,0.00207023,0.03108778,0.0002589618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05997248,0.0003873562,0.4955709,0.001009976,0.003348721,0.001318147,0.0001191654,0.001301788,0.4369715],"genre_scores_gemma":[0.1706551,0.000003148062,0.8243222,0.0001602887,0.0004780951,0.0001839816,0.00001819316,0.00003362996,0.004145408],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4575284,"threshold_uncertainty_score":0.8463166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929451614706962,"score_gpt":0.3195175089660366,"score_spread":0.300222992818967,"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."}}