{"id":"W6939213978","doi":"10.6073/pasta/0aac8d39cd71bc6991eb73df408ad279","title":"Impact of Snowmelt Timing and Tree Proximity on Dutchman's Breeches Phenology and Performance in Mont Megantic National Park (Quebec, Canada; 2018-2019)","year":2025,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowmelt; Phenology; Understory; National park; Deciduous; Canopy; Microclimate; Ephemeral key; Growing season","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":[0.000644102,0.0007780641,0.0006428999,0.002040213,0.001082233,0.001201927,0.00190424,0.0005151186,0.009804483],"category_scores_gemma":[0.001906465,0.0002985963,0.0004589492,0.006122755,0.0002937484,0.0004396409,0.0008072889,0.0006082269,0.003997684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091999,"about_ca_system_score_gemma":0.009621372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9800813,"about_ca_topic_score_gemma":0.9921274,"domain_scores_codex":[0.9995795,0.00002976165,0.00002953145,0.0001115324,0.0001285023,0.0001212665],"domain_scores_gemma":[0.9976731,0.0001345805,0.000311657,0.0001517936,0.001385443,0.0003434638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002849549,0.00009265215,0.2973326,0.0005645074,0.0002233759,0.0001179687,0.0003621283,0.001333125,0.0003405329,0.0005646524,0.688367,0.01041643],"study_design_scores_gemma":[0.0001641812,0.00002744784,0.7977644,0.0003718891,0.00008523555,0.00007192005,0.0008996958,0.002468548,0.0003907043,0.0001743765,0.19752,0.00006172774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01479505,0.0001386174,0.0000813314,0.000120461,0.00001243789,0.00002374992,0.9836242,0.00007174713,0.001132358],"genre_scores_gemma":[0.03623308,0.0001219675,0.0004676265,0.00007900636,0.00000811767,0.000159917,0.9593765,0.00003101851,0.003522734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01991868,"threshold_uncertainty_score":0.07923043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646278797848851,"score_gpt":0.2767761003249455,"score_spread":0.240313312346457,"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."}}