{"id":"W4288050321","doi":"10.17975/sfj-2022-011","title":"Proceedings from the 2022 Indicium Conference","year":2022,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University","funders":"","keywords":"Mentorship; Medical education; Library science; Competition (biology); Political science; Management; Psychology; Sociology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003468058,0.0000834979,0.00008983039,0.00006489316,0.0006433517,0.00009793251,0.0006327893,0.00003808211,0.0008855126],"category_scores_gemma":[0.00001151323,0.00006407467,0.00004619834,0.0003150697,0.00006059461,0.00007702384,0.0001229504,0.001290676,0.0000566354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008879763,"about_ca_system_score_gemma":0.00005222155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005583764,"about_ca_topic_score_gemma":0.000004333304,"domain_scores_codex":[0.999152,0.00002269792,0.0001556657,0.00009850394,0.0003015377,0.0002696089],"domain_scores_gemma":[0.9996536,0.00005861555,0.00004044253,0.0001232808,0.00004219487,0.00008191384],"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":[0.00009177502,0.0001747065,0.04362969,0.00004025183,0.0005493647,0.0001361847,0.006846359,0.002509148,0.2483993,0.02465092,0.6079968,0.06497554],"study_design_scores_gemma":[0.002071734,0.0003731464,0.009062396,0.00006982817,0.00009319953,0.001249605,0.03496072,0.01996933,0.03926123,0.05360463,0.8383428,0.0009413742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885368,0.001396225,0.00103722,0.003677257,0.0003158155,0.0002046969,0.00005686922,0.0001906261,0.004584524],"genre_scores_gemma":[0.9988975,0.0001057308,0.00008003636,0.00009064191,0.0001763372,0.00008991836,0.000004033074,0.000017038,0.0005387508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.230346,"threshold_uncertainty_score":0.9695742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194639544503338,"score_gpt":0.2172665970146575,"score_spread":0.1978026425643237,"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."}}