{"id":"W7110870673","doi":"10.5281/zenodo.17664851","title":"Canadian PID Strategy: Engagement Toolkit - PIDs 101","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PID controller; Value (mathematics); Control (management); Term (time); Control system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02480035,0.0008451694,0.0008934346,0.003549423,0.009127768,0.01334112,0.00583936,0.009183401,0.2259905],"category_scores_gemma":[0.03653596,0.001272658,0.000958722,0.005041667,0.002403014,0.0048494,0.01215781,0.007806014,0.07035591],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06680742,"about_ca_system_score_gemma":0.292078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.800801,"about_ca_topic_score_gemma":0.8544271,"domain_scores_codex":[0.9787123,0.003151911,0.0005464581,0.001062395,0.01182025,0.004706646],"domain_scores_gemma":[0.9734117,0.004235698,0.0004693963,0.00161052,0.01083263,0.009440015],"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":[0.00003959335,0.00004416945,0.0002385204,0.0001551231,0.000004151336,0.00004452624,0.000378056,0.000103089,0.0001346701,0.02791882,0.9487588,0.02218045],"study_design_scores_gemma":[0.00001911628,0.000007428578,0.000449272,0.00005702001,0.000001510941,0.000009162089,0.0002373979,0.00006174259,0.00005197626,0.00143177,0.9976575,0.00001606196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002163305,0.001370408,0.00934049,0.07287823,0.002536766,0.004223166,0.03933013,0.005632569,0.8625249],"genre_scores_gemma":[0.0135344,0.001007857,0.01378393,0.03194658,0.0002818832,0.004241468,0.02064722,0.001755301,0.9128014],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9941607,"threshold_uncertainty_score":0.7560137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329315643813483,"score_gpt":0.2536121743581337,"score_spread":0.2303190179199988,"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."}}