{"id":"W2079999847","doi":"10.1002/chin.201350250","title":"ChemInform Abstract: Oligoyne Derivatives as Reactive Precursors for the Preparation of Carbon Nanomaterials","year":2013,"lang":"en","type":"article","venue":"ChemInform","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Chemistry; Nanomaterials; Carbon fibers; Organic chemistry; Nanotechnology; Environmental chemistry","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":[0.0004462907,0.0009173212,0.0003449311,0.001578431,0.0003163771,0.0007878371,0.0007484658,0.0008963908,0.01423249],"category_scores_gemma":[0.0005796954,0.0002910325,0.0002177845,0.001436509,0.0003303964,0.0008588883,0.0005937585,0.001448285,0.009988515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138215,"about_ca_system_score_gemma":0.001048623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278556,"about_ca_topic_score_gemma":0.00251335,"domain_scores_codex":[0.9997775,0.0000190926,0.00001381932,0.00004149524,0.0001249713,0.00002312996],"domain_scores_gemma":[0.9997553,0.00006528004,0.00002608455,0.00001286565,0.0001157725,0.00002473902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001740096,0.0001090995,0.000221226,0.01042513,0.00007811309,0.0003368531,0.00007171514,0.0006853194,0.06425574,0.02660977,0.3688833,0.5281498],"study_design_scores_gemma":[0.00001381623,0.00005355811,0.0002176622,0.0004127208,0.0000306041,0.0002093876,0.000009200609,0.0001139078,0.03412317,0.0005766646,0.9642255,0.0000136144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003978026,0.8781003,0.006060749,0.004018116,0.01046204,0.0001429062,0.000914768,0.000335543,0.09598763],"genre_scores_gemma":[0.02213092,0.8949713,0.003393521,0.002108346,0.002032257,0.0001041046,0.001151977,0.00007106463,0.07403651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01423249,"threshold_uncertainty_score":0.04761243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355590639669565,"score_gpt":0.268813798015194,"score_spread":0.2552578916184984,"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."}}