{"id":"W1968072526","doi":"10.2980/16-2-3234","title":"Germination requirements and seed mass of slow- and fast- colonizing temperate forest herbs along a latitudinal gradient","year":2009,"lang":"en","type":"article","venue":"Ecoscience","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Germination; Dormancy; Temperate climate; Biology; Habitat; Climate change; Latitude; Seed dormancy; Ecology; Colonization; Herb; Temperate forest; Botany; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003039732,0.00007153117,0.00009448699,0.00003247067,0.0002721896,0.00001774391,0.00007394329,0.00002714605,0.00001206208],"category_scores_gemma":[0.00005145589,0.00006561521,0.00001010775,0.0001563235,0.0003112923,0.0002928279,0.00006213118,0.00004416678,0.00000577284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004771828,"about_ca_system_score_gemma":0.000005978656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003292433,"about_ca_topic_score_gemma":0.0005645405,"domain_scores_codex":[0.9993199,0.00002242911,0.0001459359,0.0002232406,0.000129452,0.0001590979],"domain_scores_gemma":[0.9997643,0.00003193974,0.00008461254,0.00006389148,0.00001132452,0.00004391242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005194145,0.00002683379,0.9811578,0.000005439633,0.000002277256,0.000002497892,0.0006805952,0.0002439099,0.01571348,0.0008489907,0.00001294835,0.001300007],"study_design_scores_gemma":[0.00018111,0.0001499669,0.9794025,0.0000116091,0.000005548568,0.000005250472,0.00008426518,0.01766223,0.0003731253,0.002038738,0.0000165435,0.00006916443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974656,0.00004824082,0.0005169063,0.0003679491,0.00005997265,0.0001219614,0.000001519821,0.000009521092,0.001408398],"genre_scores_gemma":[0.9973571,0.00004812127,0.002243591,0.0001129393,0.000004872545,0.000005215859,7.504036e-7,0.000001803869,0.0002256572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01741832,"threshold_uncertainty_score":0.2675711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241461807401623,"score_gpt":0.2426455130875774,"score_spread":0.2302308950135611,"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."}}