{"id":"W2175506846","doi":"10.22230/src.2012v3n1a47","title":"Drilling for Papers in INKE","year":2012,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Computer science; Chaining; Process (computing); Forward chaining; Plan (archaeology); Domain (mathematical analysis); Interface (matter); Animation; Listing (finance); World Wide Web; Data science; Operations research; Artificial intelligence; Computer graphics (images); Expert system; Engineering; Programming language; History; Business; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004559775,0.0000404311,0.00006345025,0.0001511577,0.0003301396,0.0003852026,0.00074579,0.00005937422,0.000001484892],"category_scores_gemma":[0.0008877483,0.00003394832,0.00001477441,0.0002688447,0.00008600006,0.001809233,0.0004208321,0.0003627663,0.000005746203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887739,"about_ca_system_score_gemma":0.00002951196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000721441,"about_ca_topic_score_gemma":0.00007153793,"domain_scores_codex":[0.9989675,0.0003305287,0.0001046983,0.0001078193,0.0002029892,0.0002864281],"domain_scores_gemma":[0.9985228,0.0006971657,0.00001912972,0.0005669869,0.0001343558,0.00005951804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002046833,0.0001314841,0.07547098,0.00004054829,0.0000101453,4.796747e-7,0.006681454,0.000004104364,0.00459261,0.6761369,0.0002983053,0.2366125],"study_design_scores_gemma":[0.001411195,0.0002084082,0.7508068,0.0002053623,0.000004066839,0.00001202336,0.003437669,0.01358667,0.003579479,0.101501,0.1248871,0.0003601748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8404473,0.03868203,0.05492105,0.03480212,0.000356916,0.001436372,0.000002033266,0.0002327631,0.02911941],"genre_scores_gemma":[0.9603744,0.0009255335,0.03846618,0.00007874778,0.00002003439,0.00004745753,0.000001889546,0.000002682626,0.00008308578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6753358,"threshold_uncertainty_score":0.3714517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1351611189471177,"score_gpt":0.400641904917846,"score_spread":0.2654807859707283,"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."}}