{"id":"W1978943703","doi":"10.4018/jnmc.2011040101","title":"Understanding Advances in Nanotechnology","year":2011,"lang":"en","type":"article","venue":"International Journal of Nanotechnology and Molecular Computation","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Nanotechnology; Realm; Predictability; Applications of nanotechnology; Societal impact of nanotechnology; Corporate governance; Focus (optics); Computer science; Engineering; Materials science; Political science; Management; Physics; Economics","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":[0.003129074,0.0006467988,0.0005123746,0.001968028,0.00173585,0.005970428,0.001141501,0.002978201,0.008349238],"category_scores_gemma":[0.005005871,0.0002297388,0.000326241,0.001506265,0.008144996,0.0167885,0.003360942,0.003834029,0.001790724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002652916,"about_ca_system_score_gemma":0.002129439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863403,"about_ca_topic_score_gemma":0.001888657,"domain_scores_codex":[0.9987023,0.0003863948,0.00006492997,0.0002348144,0.000449348,0.0001622659],"domain_scores_gemma":[0.9980891,0.001181856,0.0001546864,0.0002023092,0.0002675486,0.0001044133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003876931,0.000006089411,0.0003110149,0.0001554527,0.000005970299,0.0000526358,0.001090344,0.0004352902,0.0001024904,0.9736242,0.007241727,0.01697094],"study_design_scores_gemma":[0.00000180186,0.000006841487,0.0002632813,0.0002414664,0.000003849442,0.00005287345,0.0006804677,0.0002828966,0.00009378367,0.799721,0.1986454,0.000006252092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01297453,0.1406957,0.03670009,0.146106,0.003461442,0.00006860213,0.0003564533,0.0001371068,0.6595001],"genre_scores_gemma":[0.5888528,0.2804006,0.03270881,0.02791953,0.007246439,0.000312702,0.0004872372,0.0001516929,0.06192015],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008349238,"threshold_uncertainty_score":0.02793097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04201803001457306,"score_gpt":0.2814259117510412,"score_spread":0.2394078817364682,"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."}}