{"id":"W1753197017","doi":"","title":"La réflectométrie dans le domaine temporel : une technique d'optimisation de l'irrigation et de réduction du lessivage en pépinières forestières au Québec","year":2002,"lang":"fr","type":"article","venue":"Cahiers Agricultures","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Humanities; Political science; Geography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009141253,0.000392806,0.000341166,0.0000508839,0.001217663,0.0001463592,0.0003467471,0.001052687,0.0005152304],"category_scores_gemma":[0.0002766283,0.0002011748,0.0002015309,0.0006366668,0.0008878217,0.0004980825,0.00005872948,0.0005801464,0.00005109245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508351,"about_ca_system_score_gemma":0.0002457677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1002453,"about_ca_topic_score_gemma":0.1788641,"domain_scores_codex":[0.9971876,0.0009834922,0.000422457,0.0005039241,0.0001877546,0.0007148143],"domain_scores_gemma":[0.9988051,0.0004430047,0.0002927984,0.0001045724,0.000111275,0.0002432462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001537514,0.001395876,0.05166187,0.000214862,0.0002626492,0.0002092768,0.03542,0.005663146,0.5027215,0.1710049,0.2015436,0.0297486],"study_design_scores_gemma":[0.001131884,0.001101485,0.4890784,0.0002459509,0.0002389435,0.001218022,0.0162745,0.002186601,0.09155095,0.01645728,0.3790493,0.001466665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011135,0.0009684824,0.002495071,0.07563803,0.0004628991,0.0007353998,0.00004520519,0.0002106924,0.01833077],"genre_scores_gemma":[0.9854347,0.0005429366,0.0009710994,0.0009352755,0.001164619,0.0002503151,0.0001729962,0.000006990823,0.01052104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4374165,"threshold_uncertainty_score":0.9365401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008764852484558251,"score_gpt":0.2022607454199124,"score_spread":0.1934958929353541,"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."}}