{"id":"W3136376466","doi":"10.1039/d1lc90030g","title":"<i>Lab on a Chip</i> – past, present, and future","year":2021,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"State (computer science); Engineering; Computer 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":[0.00822304,0.001247221,0.001395193,0.002267584,0.001723698,0.01035441,0.003079302,0.005223774,0.03901034],"category_scores_gemma":[0.00979682,0.0008578149,0.0006792487,0.002178598,0.004534291,0.009139669,0.002329569,0.008073768,0.03230771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286194,"about_ca_system_score_gemma":0.002709402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008780294,"about_ca_topic_score_gemma":0.002586738,"domain_scores_codex":[0.995254,0.0007305691,0.0003425852,0.0004675742,0.002742748,0.0004623521],"domain_scores_gemma":[0.9829542,0.00337693,0.000828443,0.001209107,0.008396666,0.003234583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003796636,0.00001546232,0.0001449516,0.0004530385,0.00001077275,0.00004255313,0.00003867153,0.00008450198,0.001528563,0.007697498,0.9307462,0.05919976],"study_design_scores_gemma":[0.000002279625,0.00002478219,0.00005983034,0.0001076153,0.000004245502,0.00006354637,0.00003050419,0.00008865302,0.0004120649,0.001458741,0.9977362,0.00001159526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"review","genre_scores_codex":[0.0006474483,0.2377034,0.009664199,0.207301,0.4546088,0.00009128827,0.0004407272,0.001628124,0.087915],"genre_scores_gemma":[0.01344793,0.2379706,0.01121483,0.2189301,0.2520631,0.0003161929,0.001125305,0.001638997,0.263293],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03901034,"threshold_uncertainty_score":0.1305026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008909787051547238,"score_gpt":0.2112137006364838,"score_spread":0.2023039135849365,"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."}}