{"id":"W6943364955","doi":"10.15454/9z4ps3","title":"Capex ontology","year":2019,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Ontology; Quality (philosophy); Core (optical fiber); Production (economics); Term (time); Graph","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":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.007269074,0.001069465,0.001620307,0.0003454004,0.0001042949,0.0001312521,0.01123752,0.004061317,0.003870638],"category_scores_gemma":[0.008537479,0.001089365,0.0001507779,0.001075332,0.0003346603,0.0007160301,0.002900587,0.006363408,0.2478396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002457,"about_ca_system_score_gemma":0.001466554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00496264,"about_ca_topic_score_gemma":0.00390621,"domain_scores_codex":[0.991088,0.002802052,0.000906763,0.002762399,0.0008553378,0.001585505],"domain_scores_gemma":[0.9793704,0.002213868,0.0008416768,0.01703735,0.0002105607,0.0003262117],"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":[0.00006687698,0.0001874159,0.00004322422,0.000487995,0.0002310835,0.00008465601,0.00001882833,0.000003226847,0.0001056636,0.000005036131,0.9967161,0.002049833],"study_design_scores_gemma":[0.0007300911,0.00005616598,0.0001709202,0.0002599885,0.0002879355,0.00008489782,0.00001336997,0.0001090836,0.00002625147,0.00008257207,0.9970219,0.001156884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001221272,0.005113325,0.00007877218,0.000250158,0.00215374,0.0009465989,0.9903148,0.0002235229,0.0009068921],"genre_scores_gemma":[7.663446e-7,0.002124291,0.004131243,0.001058204,0.001029875,0.00007427997,0.9862994,0.0002656792,0.005016259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.243969,"threshold_uncertainty_score":0.999814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5674238888230773,"score_gpt":0.478145955827167,"score_spread":0.08927793299591025,"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."}}