{"id":"W3113051474","doi":"10.26434/chemrxiv.10292957.v1","title":"Fluorescent Lewis Adducts: A Refined Guide for Lewis Acidity","year":2019,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Organoboron and organosilicon chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Lewis acids and bases; Adduct; Fluorescence; Chemistry; Chromaticity; Computer science; Organic chemistry; Catalysis; Artificial intelligence; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001460788,0.001562848,0.0009867286,0.003095057,0.00114767,0.002297902,0.002477895,0.001480997,0.0409789],"category_scores_gemma":[0.002954566,0.001614486,0.0008288279,0.001904624,0.001184255,0.003524698,0.00192317,0.005958436,0.0313589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007626612,"about_ca_system_score_gemma":0.0009141419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308067,"about_ca_topic_score_gemma":0.002827061,"domain_scores_codex":[0.9990482,0.0001523738,0.00006550255,0.0001760199,0.0004905299,0.00006737474],"domain_scores_gemma":[0.9991224,0.0002390838,0.00005609541,0.0002644865,0.0002529789,0.0000648968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000304753,0.0001634891,0.0009723275,0.001425373,0.0001053976,0.0004945229,0.0005036089,0.003458735,0.4086828,0.1482007,0.2030115,0.232677],"study_design_scores_gemma":[0.00003762881,0.0001429861,0.0005207492,0.0001300914,0.00002990053,0.000852413,0.00007906477,0.007209431,0.2031414,0.04259598,0.7451174,0.0001430113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01235135,0.01048716,0.8934632,0.00217222,0.002129049,0.0003912531,0.01118854,0.02292958,0.0448877],"genre_scores_gemma":[0.04553242,0.01397212,0.8226705,0.002176615,0.000459944,0.001193499,0.009450343,0.008260264,0.0962843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0409789,"threshold_uncertainty_score":0.1370881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245515571181055,"score_gpt":0.2695794739085533,"score_spread":0.2450279167904478,"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."}}