{"id":"W6931664732","doi":"10.5281/zenodo.5784787","title":"Assessing and assuring interoperability of a genomics file format: results and scripts","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Interoperability; Scripting language; File format; Test (biology); Genomics","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":[],"category_scores_codex":[0.0005304018,0.0001770139,0.0002293414,0.0003388433,0.0008018855,0.0007299192,0.0008804582,0.00007191941,0.008865653],"category_scores_gemma":[0.0006221078,0.0001945941,0.00002824746,0.0003514544,0.0001834271,0.0004507172,0.003682508,0.0002984312,0.0001154199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700195,"about_ca_system_score_gemma":0.00000668245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002300297,"about_ca_topic_score_gemma":5.281611e-7,"domain_scores_codex":[0.9982978,0.0003107458,0.0003006413,0.0005893342,0.0002702862,0.0002312026],"domain_scores_gemma":[0.9987506,0.00004172975,0.0003038886,0.0005693682,0.0002206574,0.0001137346],"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":[0.0000516883,0.0002029199,0.000002763062,0.0003837292,0.0001115352,0.0000229399,0.004273925,0.0004001855,0.0005168941,0.001639104,0.5408012,0.4515931],"study_design_scores_gemma":[0.0005372692,0.0001017612,0.0001502859,0.00006358379,0.000006205699,0.00007379324,0.0002558351,0.009484511,0.00003889982,0.00004574569,0.9890487,0.0001933938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0002365192,0.0004729457,0.3118397,0.0002847572,0.0002320168,0.0009588591,0.002163386,0.00143095,0.6823809],"genre_scores_gemma":[0.03947887,0.003032168,0.7489373,0.0007552709,0.0006417544,0.000001590822,0.01302146,0.0250633,0.1690683],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5133126,"threshold_uncertainty_score":0.9920404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03452343956077849,"score_gpt":0.2602770093946838,"score_spread":0.2257535698339053,"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."}}