{"id":"W3011134024","doi":"10.1021/acsenergylett.0c00177","title":"Recent Progress on Indoor Organic Photovoltaics: From Molecular Design to Production Scale","year":2020,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaics; Flexibility (engineering); Photovoltaic system; Organic solar cell; Nanotechnology; Electronics; Materials science; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006279141,0.0002421825,0.0001906825,0.00005890971,0.00005127077,0.00005028466,0.0002441582,0.00008552041,0.00007212347],"category_scores_gemma":[0.0000306016,0.0002575817,0.00003855834,0.0004774871,0.00001938537,0.00006520635,0.00004027191,0.000224272,0.00009393319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561588,"about_ca_system_score_gemma":0.0000281476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002075011,"about_ca_topic_score_gemma":0.00001616349,"domain_scores_codex":[0.9987265,0.00004221603,0.0002011863,0.0004000829,0.0002476959,0.000382347],"domain_scores_gemma":[0.9994146,0.00002146859,0.00003056641,0.0003098526,0.0000331334,0.0001903627],"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":[0.0000339716,0.00001965443,0.00003330871,0.000006471872,0.00006258105,0.00001827663,0.0002727062,0.01081412,0.966055,0.00002753815,0.01771103,0.00494536],"study_design_scores_gemma":[0.0001860413,0.0001176229,0.00002439405,0.00001759325,0.00002071983,0.000001762449,0.000008361133,0.001281072,0.9443507,0.00005847895,0.05364935,0.0002838802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641187,0.0006329855,0.02068711,0.01308464,0.0005372197,0.0003372215,0.000009742477,0.000509437,0.0000829991],"genre_scores_gemma":[0.9832909,0.0002774845,0.00126516,0.01454743,0.0003820602,0.00006662201,0.00003611235,0.0001201908,0.00001400029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03593832,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009508434165905142,"score_gpt":0.1847955172001267,"score_spread":0.1752870830342216,"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."}}