{"id":"W4401689426","doi":"10.1186/s13326-024-00315-0","title":"Concretizing plan specifications as realizables within the OBO foundry","year":2024,"lang":"en","type":"article","venue":"Journal of Biomedical Semantics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Plan (archaeology); Foundry; Engineering management; Knowledge management; Software engineering; Manufacturing engineering; Data science; Systems engineering; Management science; Mechanical engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009732684,0.000734548,0.0005216104,0.001691791,0.001844396,0.005469106,0.002245225,0.001897763,0.003851754],"category_scores_gemma":[0.0235057,0.0008351073,0.002282539,0.001509631,0.007891637,0.01137366,0.00629773,0.003270154,0.0006385968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004748728,"about_ca_system_score_gemma":0.009576068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190144,"about_ca_topic_score_gemma":0.02135519,"domain_scores_codex":[0.9924513,0.002373578,0.001039316,0.0009693135,0.002503255,0.00066322],"domain_scores_gemma":[0.9809251,0.007551302,0.00224526,0.006630463,0.00220863,0.0004391746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005418024,0.00003253334,0.002262091,0.0001536297,0.00003091855,0.0003507177,0.003678658,0.009343143,0.001689767,0.9520518,0.001827895,0.02852464],"study_design_scores_gemma":[0.00004698508,0.00006697794,0.001199851,0.0003680233,0.0001506314,0.0005317171,0.002067152,0.08152083,0.01357062,0.7567019,0.1436796,0.00009579655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02713866,0.0001571615,0.9496688,0.001885749,0.00009119209,0.0003339453,0.0004132303,0.002076188,0.01823506],"genre_scores_gemma":[0.336017,0.0003402093,0.6549667,0.0005276023,0.00004798825,0.000394169,0.001185656,0.0008514407,0.005669236],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02190144,"threshold_uncertainty_score":0.05147195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353713051971736,"score_gpt":0.3029309165570618,"score_spread":0.2593937860373444,"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."}}