{"id":"W2090572438","doi":"10.5558/tfc80141-1","title":"Régénération artificielle des pessières noires à éricacées : effets du scarifiage, de la fertilisation et du type de plants après 10 ans","year":2004,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Ministère des Ressources naturelles et des Forêts (Québec)","funders":"Université Laval","keywords":"Scarification; Forestry; Seedling; Basal area; Microsite; Biology; Geography; Agronomy; Germination","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0004895455,0.0003123834,0.0002141091,0.0002047459,0.0001797613,0.0002870316,0.0002509027,0.0001996619,0.001640618],"category_scores_gemma":[0.0005201445,0.00009940778,0.0001728841,0.00008103507,0.0002575994,0.0001652481,0.0001449721,0.0002737402,0.0002033899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008293394,"about_ca_system_score_gemma":0.0004040362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03298558,"about_ca_topic_score_gemma":0.06373657,"domain_scores_codex":[0.999804,0.00005496255,0.000009753156,0.00004633106,0.00004747824,0.00003751922],"domain_scores_gemma":[0.9992995,0.0002250586,0.0001136844,0.00003953679,0.0001004617,0.0002218424],"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":[0.0171905,0.003908711,0.05408959,0.0004499756,0.0002517403,0.0003497035,0.0003263928,0.003201985,0.8002013,0.0001554644,0.0007560112,0.1191186],"study_design_scores_gemma":[0.0003906894,0.04123935,0.7733257,0.00006555291,0.0002256851,0.0004353391,0.0003092546,0.006566347,0.1700487,0.00007235157,0.007269725,0.00005128244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988831,0.0003445582,0.0001905092,0.00001449899,0.000007515809,0.0000170067,0.0000530092,0.00001390807,0.0004759472],"genre_scores_gemma":[0.9949172,0.0002801066,0.0006322087,0.0000312741,0.000007523938,0.00002447519,0.0001672821,0.000007654597,0.003932405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03298558,"threshold_uncertainty_score":0.06558716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774121968073833,"score_gpt":0.2392793888151435,"score_spread":0.2215381691344052,"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."}}