{"id":"W3047519683","doi":"10.48336/kbz2-sv47","title":"Attribute lattice: a graph-based conceptual modeling grammar for heterogeneous data","year":2021,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Natural language processing; Theoretical computer science; Artificial intelligence; Information retrieval","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":[0.004036658,0.0008882386,0.001003153,0.002814799,0.002341582,0.004971613,0.002761415,0.002061388,0.004687739],"category_scores_gemma":[0.006734373,0.0008927695,0.003837355,0.003157675,0.005012902,0.00926722,0.003546173,0.003919231,0.001290013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003304075,"about_ca_system_score_gemma":0.004868408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335485,"about_ca_topic_score_gemma":0.009909341,"domain_scores_codex":[0.9970865,0.001120922,0.0003327195,0.0006626662,0.0006352531,0.0001620377],"domain_scores_gemma":[0.9969688,0.001508222,0.0002328543,0.0005280254,0.0005650178,0.0001970941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001180811,0.00001538958,0.000156321,0.00004388575,0.00001184,0.0001214862,0.0007378249,0.005946758,0.0003358071,0.9809645,0.002424192,0.009230119],"study_design_scores_gemma":[0.00002051699,0.00001550096,0.00006975149,0.00006092072,0.00002118885,0.0001856747,0.000211611,0.04858862,0.0004379303,0.9110587,0.039294,0.00003554928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002706818,0.0001637084,0.9896504,0.001155361,0.0001187674,0.0001617848,0.0006193661,0.0006684813,0.004755388],"genre_scores_gemma":[0.08547711,0.0005621556,0.9059202,0.0007581487,0.0001221487,0.0008887835,0.001935423,0.0004102349,0.003925796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01335485,"threshold_uncertainty_score":0.02655429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012482494784047,"score_gpt":0.3115316317688617,"score_spread":0.210283382290457,"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."}}