{"id":"W2971903797","doi":"10.1080/00107514.2019.1660715","title":"Biophotonics science and technology","year":2019,"lang":"en","type":"article","venue":"Contemporary Physics","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biophotonics; Data science; Nanotechnology; Materials science; Computer science; Optoelectronics; Photonics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000637513,0.0000582057,0.00006776021,0.00006205989,0.00002027296,0.00001512031,0.00009633512,0.00003962794,0.000004440284],"category_scores_gemma":[0.000007719552,0.00005523918,0.000006081346,0.0005383064,0.0001222922,0.0001403993,0.00002645999,0.00008451656,0.0000572279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002415626,"about_ca_system_score_gemma":0.00006073828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001306571,"about_ca_topic_score_gemma":3.160002e-8,"domain_scores_codex":[0.9996428,9.07594e-7,0.00005763823,0.0001003302,0.00009218588,0.0001061019],"domain_scores_gemma":[0.9997602,0.000007134706,0.00000673061,0.0001417249,0.00003820102,0.00004607896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004269675,0.00007670018,0.008843605,0.0009103958,0.00004458217,0.000004057847,0.0005272292,0.0004101483,0.847129,0.04300316,0.01123623,0.08781061],"study_design_scores_gemma":[0.001209502,0.0002057083,0.007666841,0.0002492917,0.00001326912,0.00002228317,0.0004065379,0.4180242,0.2353349,0.01643502,0.3192617,0.001170823],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829457,0.001089576,0.0007094276,0.0003042695,0.0009040559,0.0001159804,0.000002724338,0.0004445084,0.0134838],"genre_scores_gemma":[0.9995561,0.0000223038,0.0002532226,0.00002889559,0.00003831813,0.000004998782,0.000002188197,0.000009460194,0.00008456907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6117942,"threshold_uncertainty_score":0.2252588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00740355921256073,"score_gpt":0.1886612386691616,"score_spread":0.1812576794566009,"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."}}