{"id":"W2346264816","doi":"10.1038/srep21155","title":"Microfluidic high-throughput selection of microalgal strains with superior photosynthetic productivity using competitive phototaxis","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Algal biology and biofuel production","field":"Energy","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Korea Institute of Energy Technology Evaluation and Planning; National Research Foundation of Korea; National Research Foundation","keywords":"Phototaxis; Photosynthesis; Chlamydomonas reinhardtii; Photosynthetic efficiency; Biology; Algae; Botany; Mutant; Gene; Biochemistry","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":[0.0004126976,0.0006478041,0.0005375696,0.000369735,0.0002628328,0.0005165706,0.0004272726,0.0003424223,0.0004218141],"category_scores_gemma":[0.0003570906,0.0002450223,0.0004913201,0.0002712777,0.0002300211,0.0002848808,0.0007155174,0.000521075,0.0002637991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691572,"about_ca_system_score_gemma":0.0002707237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000481669,"about_ca_topic_score_gemma":0.0009689942,"domain_scores_codex":[0.9996024,0.00004322966,0.0000492937,0.00009556025,0.0001472414,0.00006217809],"domain_scores_gemma":[0.9997715,0.00005560682,0.00006647336,0.00004203584,0.00003050003,0.00003381316],"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":[0.00001326621,0.0000160146,0.0001714605,0.00001213458,0.000004270182,0.00001110752,0.000004626865,0.00006183385,0.9984176,0.00002919668,0.00001595742,0.001242478],"study_design_scores_gemma":[0.000006913295,0.00009938663,0.001712159,0.000002214195,0.00001454423,0.00007100024,0.0000110851,0.001326374,0.9961686,0.00002824539,0.0005504752,0.000009029371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601163,0.0008453967,0.03686243,0.0001964159,0.00005863746,0.0001520611,0.0005487158,0.000407319,0.0008127263],"genre_scores_gemma":[0.9437927,0.0007760553,0.05283747,0.00009186611,0.00001791799,0.0002048508,0.0008904958,0.00006592309,0.001322774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006478041,"threshold_uncertainty_score":0.002182603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293365995092731,"score_gpt":0.2239729935269805,"score_spread":0.2110393335760532,"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."}}