{"id":"W6968586019","doi":"10.5281/zenodo.15036603","title":"cf_xarray","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Metadata; Convention; Term (time); Process (computing); Product (mathematics)","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":[0.00416994,0.003397786,0.002027889,0.003737992,0.002026566,0.005614291,0.005590556,0.00279206,0.3040116],"category_scores_gemma":[0.009506389,0.002057787,0.002518058,0.00468358,0.000727663,0.008030358,0.004566695,0.002805819,0.2554913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001989188,"about_ca_system_score_gemma":0.001805508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445132,"about_ca_topic_score_gemma":0.01237801,"domain_scores_codex":[0.9972366,0.0002325882,0.0002229648,0.001002744,0.0009476515,0.0003573208],"domain_scores_gemma":[0.9938645,0.001219605,0.0002739825,0.002607696,0.001672396,0.0003616779],"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":[0.0003350709,0.00002019729,0.0004870557,0.0002769527,0.00003257475,0.00004522547,0.00006594038,0.000176589,0.001771778,0.002845173,0.9782212,0.01572231],"study_design_scores_gemma":[0.0001110215,0.0000193604,0.000944882,0.00008766425,0.00002052262,0.00008911875,0.00002947197,0.00120204,0.005130862,0.003668742,0.9886239,0.00007250674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0010702,0.0004100132,0.04460305,0.0006044207,0.0005159958,0.0001802187,0.344074,0.551357,0.057185],"genre_scores_gemma":[0.01133267,0.0005143502,0.04765223,0.00136301,0.0003343807,0.0007165082,0.6805174,0.2079292,0.04964025],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3040116,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592364301630395,"score_gpt":0.2477822762187105,"score_spread":0.2318586332024065,"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."}}