{"id":"W18542061","doi":"","title":"Succeeding with Object databases","year":2000,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Resverlogix (Canada)","funders":"","keywords":"Database; Object (grammar); Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008054875,0.0002279095,0.0002761472,0.0001223188,0.00007142353,0.0001534661,0.001009412,0.0000774619,0.0003148018],"category_scores_gemma":[0.000009248827,0.0001501175,0.00005064205,0.00008162917,0.00006409891,0.0003468457,0.0002070325,0.000174359,0.0002881947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003943806,"about_ca_system_score_gemma":0.0003527505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007580713,"about_ca_topic_score_gemma":0.00007854986,"domain_scores_codex":[0.998822,0.0000096992,0.0001439632,0.0004809797,0.0002886345,0.0002547279],"domain_scores_gemma":[0.9989954,0.0001315469,0.00006389898,0.0007253651,0.00003183605,0.00005193896],"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":[0.00001014867,0.00002192836,0.0001458365,0.00005885047,0.00007722214,0.0003129623,0.0001402911,0.000007597422,0.000003136362,0.4377141,0.5233223,0.03818557],"study_design_scores_gemma":[0.0002116864,0.0001242701,0.0001946791,0.0002520717,0.00002868317,0.0001616488,0.00001705753,0.0005736696,0.0001709949,0.003906832,0.9937844,0.0005739768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001491132,0.0003646793,0.05205119,0.0001565952,0.0001754125,0.0001011168,0.000003972284,0.0004785788,0.9466535],"genre_scores_gemma":[0.0002714953,0.0001265769,0.04851216,0.0004156397,0.0001760672,0.00000516415,0.00002120839,0.00001526753,0.9504564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4704621,"threshold_uncertainty_score":0.6121613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019627578652298,"score_gpt":0.2466422737235535,"score_spread":0.2164459979370305,"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."}}