{"id":"W6891485413","doi":"10.4224/21274821","title":"Détails d'installation d'une fenêtre parfaitement étanche","year":2013,"lang":"fr","type":"article","venue":"NPARC","topic":"Water management and technologies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Identification (biology); Limiting; Context (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006865404,0.000600516,0.0006324958,0.0003994076,0.0007344427,0.001052712,0.000742013,0.001119021,0.01337338],"category_scores_gemma":[0.001139781,0.0003943412,0.0006018807,0.0004964842,0.0002566849,0.001219223,0.0005981817,0.001208161,0.002102055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709879,"about_ca_system_score_gemma":0.0009688248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003682601,"about_ca_topic_score_gemma":0.01035204,"domain_scores_codex":[0.9991313,0.0001039481,0.00006182666,0.0001452954,0.0003928149,0.0001648398],"domain_scores_gemma":[0.9994307,0.0001652756,0.00006509661,0.0001354129,0.0001681457,0.00003541544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005710173,0.0003368668,0.008538623,0.002053333,0.00005792541,0.0009052145,0.0007085419,0.08372304,0.3727149,0.008156469,0.005490537,0.5167435],"study_design_scores_gemma":[0.0001417565,0.00206487,0.04496383,0.0005567681,0.0001400613,0.001961982,0.001193529,0.07762276,0.5279216,0.006693315,0.3365042,0.0002352841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3454679,0.004004297,0.5689274,0.001026734,0.0007249922,0.0009757293,0.00141849,0.003063056,0.07439137],"genre_scores_gemma":[0.7589957,0.002486275,0.197885,0.000135507,0.00005807905,0.0003577735,0.0006967922,0.000353664,0.03903113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01337338,"threshold_uncertainty_score":0.04473841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973750982734129,"score_gpt":0.2029234048996985,"score_spread":0.1831858950723572,"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."}}