{"id":"W2079357492","doi":"10.1038/nchembio0507-247","title":"High-throughput screening flows along","year":2007,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology","funders":"","keywords":"Throughput; Microfluidics; Photolithography; Nanotechnology; High-throughput screening; Computer science; Materials science; Bioinformatics; Biology; Telecommunications","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":[0.002505691,0.002199824,0.001781534,0.002841486,0.001398877,0.003667803,0.001719872,0.001551695,0.01671997],"category_scores_gemma":[0.003059307,0.001751124,0.001233033,0.001484412,0.0008823423,0.002908282,0.003142176,0.002565655,0.02521625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00074747,"about_ca_system_score_gemma":0.001521965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009329644,"about_ca_topic_score_gemma":0.001278749,"domain_scores_codex":[0.9971415,0.0004350195,0.0001346464,0.0004934142,0.001545248,0.000250044],"domain_scores_gemma":[0.9963064,0.001476032,0.0001955402,0.0006923404,0.00106982,0.0002598726],"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":[0.0007921175,0.0006930075,0.002864707,0.0006043176,0.0002118082,0.0002406004,0.0002369004,0.00293035,0.6745063,0.02219784,0.05337774,0.2413443],"study_design_scores_gemma":[0.0001728308,0.0007106513,0.00359945,0.0001535844,0.0001996045,0.0006648307,0.0001589426,0.03170893,0.6845713,0.03916217,0.2386909,0.0002067017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06745318,0.003217526,0.8199663,0.004921714,0.001516497,0.002210652,0.007970543,0.03614869,0.05659489],"genre_scores_gemma":[0.221782,0.005664675,0.6583349,0.005023359,0.0008587844,0.003026475,0.01478891,0.004004607,0.08651634],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01671997,"threshold_uncertainty_score":0.05593383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006576098987045398,"score_gpt":0.2966793149574817,"score_spread":0.2901032159704363,"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."}}