{"id":"W3129746225","doi":"10.1016/j.isci.2021.102176","title":"Automated solubility screening platform using computer vision","year":2021,"lang":"en","type":"article","venue":"iScience","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Solubility; Computer science; Nanotechnology; Computer graphics (images); Chemistry; Data science; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008106689,0.0007365696,0.000824648,0.001169706,0.0004856169,0.0009097747,0.001328389,0.0009584629,0.006257455],"category_scores_gemma":[0.0008198922,0.0004077597,0.0005704394,0.0004251192,0.0004909718,0.0008309943,0.0008930461,0.0008218838,0.003219777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007330899,"about_ca_system_score_gemma":0.001313704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002357337,"about_ca_topic_score_gemma":0.002321465,"domain_scores_codex":[0.9991047,0.00006249768,0.00003521037,0.0002848133,0.0004355182,0.00007722926],"domain_scores_gemma":[0.9994748,0.00008047795,0.00005927906,0.00006646111,0.0002746078,0.00004433467],"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":[0.0003647006,0.0003931293,0.001049543,0.0002950699,0.00005685119,0.000180873,0.00008219067,0.008179665,0.8288193,0.002089539,0.007629108,0.15086],"study_design_scores_gemma":[0.00009750728,0.0008354039,0.002983935,0.00003293076,0.00004754483,0.0003106299,0.00004768836,0.3361462,0.6307611,0.001662596,0.02692513,0.0001493129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0846084,0.0006274381,0.8799418,0.0003485486,0.0002368088,0.001072961,0.001441405,0.02179218,0.009930518],"genre_scores_gemma":[0.2559724,0.000449562,0.730112,0.0003978761,0.0000664218,0.001306986,0.002123215,0.0005646941,0.009006933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006257455,"threshold_uncertainty_score":0.02093321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05960480944279726,"score_gpt":0.3317488357949342,"score_spread":0.2721440263521369,"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."}}