{"id":"W4253948226","doi":"10.1515/iupac.73.0141","title":"Chips","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Mathematics; Political science; Database; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009276921,0.003116307,0.001489976,0.002589499,0.001157351,0.002533752,0.003884941,0.002505423,0.04749022],"category_scores_gemma":[0.004228452,0.0005525819,0.001988857,0.003602317,0.000482474,0.002088106,0.002279672,0.001799081,0.1269174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329631,"about_ca_system_score_gemma":0.00196944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01763267,"about_ca_topic_score_gemma":0.03644272,"domain_scores_codex":[0.9985893,0.0002161003,0.000136887,0.0005109286,0.0003243888,0.0002222819],"domain_scores_gemma":[0.9987949,0.0002106273,0.00009668075,0.0004090308,0.000363853,0.0001249085],"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":[0.0001782751,0.00006729102,0.001354286,0.0008453339,0.00005225518,0.00005360346,0.00002952741,0.0007366091,0.0003265597,0.0008098664,0.9841638,0.01138262],"study_design_scores_gemma":[0.000229078,0.00006829317,0.004387381,0.0003273146,0.00005459167,0.0002155715,0.0001253583,0.001789106,0.001205952,0.002682341,0.9888709,0.00004416725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008858824,0.0005088549,0.0005012384,0.000197858,0.0001282748,0.00006355185,0.9926837,0.001992764,0.003037775],"genre_scores_gemma":[0.0007285776,0.0001512,0.0006175952,0.000103926,0.00001069295,0.00008436616,0.996899,0.00006459214,0.001340062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9525098,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452344376067444,"score_gpt":0.3564329064451622,"score_spread":0.3419094626844878,"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."}}