{"id":"W2144392056","doi":"10.1016/j.biotechadv.2008.05.007","title":"Biosensor technology: Technology push versus market pull","year":2008,"lang":"en","type":"review","venue":"Biotechnology Advances","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":450,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute; National Research Council Canada","funders":"","keywords":"Commercialization; Biosensor; Automation; Computer science; Miniaturization; Bioprocess; Risk analysis (engineering); Technology development; Nanotechnology; Biochemical engineering; Manufacturing engineering; Engineering; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003159258,0.002256872,0.003219078,0.002864278,0.0005462309,0.00337391,0.002704337,0.005568562,0.004800087],"category_scores_gemma":[0.00203656,0.0006644828,0.0007260204,0.003869022,0.002547928,0.007050397,0.001594802,0.004339048,0.0043024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856287,"about_ca_system_score_gemma":0.001839165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007472695,"about_ca_topic_score_gemma":0.001610274,"domain_scores_codex":[0.9987574,0.0001952064,0.0001033766,0.0002669191,0.0005711029,0.0001060923],"domain_scores_gemma":[0.9987127,0.0007469713,0.0001047325,0.00003431012,0.0003211712,0.00008009733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009575094,0.0001187809,0.0001986289,0.00871039,0.00007989044,0.0004779669,0.0001195134,0.0003409494,0.004664895,0.02150304,0.05251502,0.9111751],"study_design_scores_gemma":[0.00002827543,0.000137754,0.0003185388,0.002254883,0.00007245768,0.002198593,0.0001663737,0.0002295988,0.001538893,0.009227925,0.9837899,0.00003678394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001432139,0.9939126,0.0009935243,0.001735655,0.00118681,0.000006042183,0.00001165743,0.00001815449,0.001992441],"genre_scores_gemma":[0.001287304,0.9918143,0.001203189,0.001739314,0.001375802,0.00001418077,0.00001906693,0.000007505703,0.002539382],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005568562,"threshold_uncertainty_score":0.01670796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839283057249781,"score_gpt":0.3225251486487094,"score_spread":0.3041323180762116,"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."}}