{"id":"W180574290","doi":"","title":"Réponse de l'épinette noire aux variations de niveau d'eau de lacs du moyen nord du Québec.","year":2013,"lang":"fr","type":"article","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004307915,0.0003394608,0.0004260677,0.0006900073,0.001605134,0.001434162,0.0005240017,0.0004307909,0.003431468],"category_scores_gemma":[0.0008782821,0.0001859538,0.0003179704,0.0007795313,0.0006663707,0.0003238913,0.0004564645,0.0005271522,0.0004146982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007856848,"about_ca_system_score_gemma":0.002880403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8517088,"about_ca_topic_score_gemma":0.9535717,"domain_scores_codex":[0.9996204,0.00002580172,0.000006934671,0.0001439713,0.0001269356,0.00007597772],"domain_scores_gemma":[0.9983949,0.0001679379,0.000197036,0.00005471805,0.0009827375,0.0002025861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001384915,0.0001142831,0.7676253,0.0002404434,0.0003895414,0.0007261081,0.006346223,0.004502988,0.177676,0.0007919541,0.002455428,0.03774687],"study_design_scores_gemma":[0.000002076642,0.00005124485,0.9941023,0.00001227561,0.00002176922,0.00002870179,0.000939047,0.0005535355,0.001516105,0.00003509126,0.002725787,0.00001201432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928336,0.0003264553,0.0008623415,0.00005981106,0.00002092819,0.00001787329,0.001233501,0.0000367278,0.004608711],"genre_scores_gemma":[0.9863026,0.0001414398,0.0005626662,0.00005095817,0.000003637302,0.00002450011,0.0008125828,0.00002733159,0.01207432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1482912,"threshold_uncertainty_score":0.2983289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05567733059409296,"score_gpt":0.2750945791813457,"score_spread":0.2194172485872527,"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."}}