{"id":"W6926494032","doi":"10.24433/co.3877447.v1","title":"LattGen: A TPMS Generation Tool","year":2024,"lang":"en","type":"other","venue":"Code Ocean","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"MATLAB; Code (set theory); Program code; Software; Code generation; User interface","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000736295,0.0001889701,0.0002637495,0.0001351463,0.00001539909,0.00003380638,0.00006315974,0.000266052,0.003774167],"category_scores_gemma":[0.00004354045,0.0001325193,0.00009924043,0.0001058164,0.00002995393,0.00001127248,0.00003352138,0.0002199709,0.002077341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003447628,"about_ca_system_score_gemma":0.00004756633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002009146,"about_ca_topic_score_gemma":0.0000235018,"domain_scores_codex":[0.9992065,0.00001222019,0.0001380369,0.0003712465,0.0001268696,0.0001450575],"domain_scores_gemma":[0.9995482,0.000003322758,0.00004989996,0.0003236942,0.00002471935,0.00005017923],"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":[0.000008049661,0.00001889222,0.000004724598,0.0002907773,0.00008659138,0.00004610008,0.0000186939,2.878723e-8,0.01714237,0.0001374281,0.9778686,0.004377794],"study_design_scores_gemma":[0.0001251841,0.00003842751,0.000004271477,0.0003777448,0.000192118,0.00003458626,0.000002978685,0.0000239602,0.009288561,0.00001993573,0.989725,0.0001672557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001286702,0.02116282,0.00002347315,0.006108741,0.002617428,0.000900334,0.0003073133,0.0007375536,0.9668556],"genre_scores_gemma":[0.009177203,0.0004268332,0.0005260091,0.0008054578,0.004910761,3.236057e-7,0.0001882794,0.0003967998,0.9835683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02073598,"threshold_uncertainty_score":0.9986997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544846501790867,"score_gpt":0.2654892491894974,"score_spread":0.2400407841715887,"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."}}