{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03312074,0.002068893,0.002193115,0.0087672,0.003281773,0.01403511,0.005354398,0.004894713,0.04619657],"category_scores_gemma":[0.04966606,0.002240966,0.002744963,0.006356555,0.002715064,0.009921142,0.007293312,0.006969615,0.02878652],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01454834,"about_ca_system_score_gemma":0.03207622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1733051,"about_ca_topic_score_gemma":0.08071723,"domain_scores_codex":[0.9754393,0.003639128,0.002180049,0.002570122,0.01455574,0.001615699],"domain_scores_gemma":[0.931651,0.01378044,0.002118428,0.01723402,0.02976896,0.005447274],"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":[0.001250415,0.0003471774,0.004688967,0.001328984,0.000145586,0.0007295343,0.001166119,0.008446302,0.01864612,0.1806785,0.5522187,0.2303535],"study_design_scores_gemma":[0.0000978652,0.00008505653,0.00125852,0.0002663491,0.00003021303,0.0002340522,0.0001696485,0.00859991,0.008998632,0.003779281,0.9763897,0.00009060836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0136338,0.004422743,0.5019522,0.03291094,0.007922931,0.003228735,0.06792771,0.07398029,0.2940205],"genre_scores_gemma":[0.07693553,0.004462481,0.5749243,0.004489989,0.00136513,0.001780762,0.1021499,0.01686426,0.2170276],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9854516,"threshold_uncertainty_score":0.3445928,"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."}}