{"id":"W6992406876","doi":"","title":"Le CRID-CNRC appuie le développement d'une future banque de données sur les infrastructures","year":2009,"lang":"fr","type":"article","venue":"NPARC","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Investment (military); Remittance; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005553498,0.0002956433,0.0003034051,0.0001641078,0.0006254626,0.001070391,0.001559746,0.0002154897,0.0002198069],"category_scores_gemma":[0.00003531923,0.0002754437,0.0001340335,0.0008732287,0.0001972547,0.006297282,0.0002147275,0.0002905334,0.0001558267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007198544,"about_ca_system_score_gemma":0.001365481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000394914,"about_ca_topic_score_gemma":0.000053342,"domain_scores_codex":[0.9974482,0.0001557576,0.0006026664,0.0004256254,0.00063769,0.0007300329],"domain_scores_gemma":[0.9986029,0.00004867245,0.0002449828,0.0006322552,0.0001840391,0.0002872085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009023618,0.00008079116,0.0008529997,0.00008348422,0.00001724827,0.00001952927,0.01449819,0.0006210522,0.007047992,0.5948486,0.2280913,0.1538298],"study_design_scores_gemma":[0.0007510385,0.0002492936,0.06868557,0.0001771821,0.00000492007,0.0001595446,0.003109645,0.01673781,0.01724235,0.06395841,0.8283129,0.000611359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06119902,0.00269068,0.2047148,0.5816165,0.00509544,0.0005965991,0.00003355358,0.000371138,0.1436823],"genre_scores_gemma":[0.9463248,0.0004611271,0.03866824,0.008998976,0.001375107,0.00001265356,0.00001612448,0.00001222268,0.004130805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8851257,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04231008803657361,"score_gpt":0.22641261053749,"score_spread":0.1841025225009164,"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."}}