{"id":"W4292697107","doi":"10.1002/chem.202284761","title":"Frontispiece: Carbon Dots for Carbon Dummies: The Quantum and The Molecular Questions Among Some Others","year":2022,"lang":"en","type":"paratext","venue":"Chemistry - A European Journal","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Novella; Carbon fibers; Object (grammar); SAINT; Art history; Philosophy; Art; Literature; Computer science; Linguistics; Algorithm","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002108109,0.0004481893,0.0004822796,0.00004570747,0.001025851,0.000611352,0.001203994,0.00009852184,0.001523212],"category_scores_gemma":[0.0001848953,0.0002861398,0.0002982599,0.0001421859,0.0009572137,0.00005930949,0.0003291094,0.001219313,0.00005995408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534468,"about_ca_system_score_gemma":0.0002193651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009680227,"about_ca_topic_score_gemma":0.000002855627,"domain_scores_codex":[0.997182,0.0006154105,0.0006783358,0.0005588888,0.000464892,0.0005005053],"domain_scores_gemma":[0.9977995,0.0002370475,0.0007771829,0.0008540783,0.000120083,0.0002121153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004525571,0.0001886079,0.00001226348,0.000501967,0.000402688,0.0001908505,0.002846503,0.001456033,0.7840895,0.002585564,0.2067767,0.0004967157],"study_design_scores_gemma":[0.004884431,0.000122973,0.000100441,0.0004625159,0.00085228,0.00106746,0.002437208,0.0106245,0.01769674,0.001437596,0.9588671,0.001446697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919448,0.02277751,0.0004055738,0.004443909,0.003066053,0.001343128,0.0004906612,0.00009669123,0.07543165],"genre_scores_gemma":[0.8948843,0.005540373,0.0001777331,0.0009765774,0.005408145,0.0007657599,0.0001984586,0.0005011991,0.09154743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7663928,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009880813300946228,"score_gpt":0.2367781619853015,"score_spread":0.2268973486843553,"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."}}