{"id":"W1986847203","doi":"10.1002/chin.200019245","title":"ChemInform Abstract: Composite Nanostructures Based on Template‐Grown Boron Nitride Nanotubules.","year":2000,"lang":"en","type":"article","venue":"ChemInform","topic":"Boron and Carbon Nanomaterials Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Nanotechnology; Boron nitride; Composite number; Nanostructure; Organic chemistry; Computer science; Algorithm; Materials science","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":["insufficient_payload"],"category_scores_codex":[0.000446506,0.0004307992,0.0004408621,0.00009688441,0.0002621562,0.0003525063,0.0007556273,0.0003087085,0.06448222],"category_scores_gemma":[0.00005204855,0.0003610786,0.0001603605,0.0002287202,0.0002402695,0.0004039545,0.00007682809,0.000246089,0.002376615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143398,"about_ca_system_score_gemma":0.0002070827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001846113,"about_ca_topic_score_gemma":0.00001136861,"domain_scores_codex":[0.9971276,5.753377e-7,0.0006471926,0.0004652427,0.0008742673,0.0008851124],"domain_scores_gemma":[0.9985402,0.000109898,0.0001595591,0.0007459443,0.0001004716,0.0003438878],"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":[0.0006065553,0.00007586244,0.00002159976,0.0001299694,0.000008750008,0.0000282272,0.0001589,0.00001271481,0.7787501,0.000043481,0.0279943,0.1921696],"study_design_scores_gemma":[0.001032642,0.00009414261,0.001784688,0.00008229418,0.00001026526,0.00002058213,0.00002996897,0.00005123193,0.9120741,0.00004519197,0.08435243,0.0004223909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4627728,0.00004628877,4.910385e-8,0.0001225829,0.0002242288,0.0002403376,0.00007716237,0.0001832879,0.5363333],"genre_scores_gemma":[0.9789156,0.0000423904,0.0000596014,0.0009002711,0.0002181354,0.00005868525,0.000158912,0.00004766085,0.0195987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5167346,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175905287358172,"score_gpt":0.2484059936057412,"score_spread":0.2366469407321595,"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."}}