{"id":"W4400763553","doi":"10.1145/3641233.3664347","title":"Making of Chameleon Transformation FX in KFP4","year":2024,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"RealNetworks (Canada)","funders":"","keywords":"Transformation (genetics); Computer science","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":[0.00003737227,0.00003215395,0.00003964857,0.0000828577,0.00000337277,0.0000123825,0.00001996527,0.00002219685,0.00009392281],"category_scores_gemma":[9.514566e-7,0.00002891092,0.00001061225,0.00008513392,0.000002002988,0.0001248166,0.000001430529,0.00003510305,0.000005015962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001181964,"about_ca_system_score_gemma":0.000002394998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004423062,"about_ca_topic_score_gemma":0.00001582068,"domain_scores_codex":[0.9997883,0.000001390545,0.00009295237,0.00003233524,0.00003716184,0.00004787575],"domain_scores_gemma":[0.9999596,0.000004421036,0.000002798062,0.00002571744,0.00000349742,0.000003898258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001811444,0.00000374313,0.00004301407,0.001183574,0.000005866262,0.000001056522,0.002573309,0.9116967,0.0003855454,0.007832984,0.00005718683,0.07621519],"study_design_scores_gemma":[0.00004928237,0.000004701754,0.0004733051,0.0001143148,0.000001873571,6.478738e-7,0.00005644979,0.9750431,0.02223889,0.000314728,0.001653129,0.00004960543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1565567,0.0007349941,0.7408057,0.000122975,0.0002748413,0.0001218735,0.000002012794,0.000466351,0.1009146],"genre_scores_gemma":[0.9989972,0.0000467192,0.0008840389,0.000005214092,0.000009410326,0.000003172385,0.000002690312,0.000006196202,0.00004540418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8424405,"threshold_uncertainty_score":0.1178953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137578648796717,"score_gpt":0.2337943248759677,"score_spread":0.220036459996296,"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."}}