{"id":"W4393243234","doi":"10.17504/protocols.io.36wgqjo4yvk5/v1","title":"Basic pipet technique training v1","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Training (meteorology); Computer science; Artificial intelligence; Geography","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":[0.0001336472,0.0002186616,0.0003036794,0.0001317084,0.00004701852,0.00003492626,0.0001665835,0.0002146369,0.00007548673],"category_scores_gemma":[0.0000180057,0.000206871,0.0001187153,0.00008694926,0.00002674019,0.00002919416,0.0002522274,0.000612177,0.0002080948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006582453,"about_ca_system_score_gemma":0.000014967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004054758,"about_ca_topic_score_gemma":0.00005394339,"domain_scores_codex":[0.9992741,0.0000111031,0.0001426325,0.000225327,0.0001092128,0.000237582],"domain_scores_gemma":[0.9995902,0.00005453263,0.00001537674,0.0002846657,0.00001266796,0.00004255975],"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":[0.00001822009,0.0001051997,0.0006974208,0.00462612,0.003303315,0.0003741128,0.01653504,0.09577706,0.02660463,0.004238618,0.7162314,0.1314889],"study_design_scores_gemma":[0.001722776,0.000248501,0.03713802,0.004128071,0.0008186641,0.0002233175,0.01137296,0.1720526,0.05202306,0.06759663,0.6411493,0.01152612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0354379,0.001175715,0.1772263,0.001781536,0.010103,0.002181858,0.000199565,0.03015518,0.7417389],"genre_scores_gemma":[0.9866045,0.0005169782,0.00722997,0.00004096453,0.0004312094,0.0002155111,0.00001348164,0.0001807324,0.004766627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511666,"threshold_uncertainty_score":0.8435953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640813510447443,"score_gpt":0.2543659958050729,"score_spread":0.1979578607005985,"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."}}