{"id":"W2804831380","doi":"10.3390/f9050283","title":"Seedling Quality: History, Application, and Plant Attributes","year":2018,"lang":"en","type":"article","venue":"Forests","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Seedling; Quality (philosophy); Perspective (graphical); Forester; Sowing; Agroforestry; Biology; Agronomy; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001937098,0.00006877088,0.00008494791,0.00001084748,0.0001325443,0.000007476046,0.00008306216,0.00002831329,0.0001565498],"category_scores_gemma":[0.0000541575,0.00005896448,0.00001506981,0.00005051325,0.0002536942,0.00005308071,0.0001027828,0.00003521875,0.0003692326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009045935,"about_ca_system_score_gemma":0.000003535375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009848524,"about_ca_topic_score_gemma":0.003403748,"domain_scores_codex":[0.9994046,0.00001540258,0.0001050293,0.0001845968,0.0001319366,0.0001584284],"domain_scores_gemma":[0.9997255,0.00005110347,0.00003638012,0.0001175769,0.000006789161,0.00006268036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008120121,0.000009489383,0.9882521,0.000003360256,0.000004164416,4.341319e-7,0.0004141225,0.00000283768,0.0004317124,0.0006421448,0.008500844,0.001730644],"study_design_scores_gemma":[0.00008738138,0.00002891109,0.8583661,0.000002752512,0.000003346864,0.000001875874,0.00002679589,0.0002555545,0.0001779096,0.001304963,0.1396609,0.00008347911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896315,0.000288951,0.00148673,0.0002429243,0.0001469754,0.00009094368,0.000006647997,0.00005485495,0.008050443],"genre_scores_gemma":[0.9989283,0.00001324803,0.0002862602,0.0002227977,0.0001074017,0.00001152089,0.000007171016,0.000005491262,0.0004178291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1311601,"threshold_uncertainty_score":0.4745861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047687918203368,"score_gpt":0.2516257858568523,"score_spread":0.2211489066748186,"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."}}