{"id":"W6888777252","doi":"10.23687/af83333b-9858-4d09-8a93-dcf1b90215e2","title":"Germination and growth data for black spruce in different ground cover types (Sphagnum spp. and feather mosses)","year":2018,"lang":"en","type":"dataset","venue":"GEOSCAN","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sphagnum; Black spruce; Moss; Germination; Greenhouse; Seedling","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007694499,0.001895336,0.001549097,0.003254744,0.0005925368,0.00155543,0.002673978,0.00220836,0.04120096],"category_scores_gemma":[0.004415227,0.0005379863,0.001469102,0.006675018,0.0003168215,0.0009390819,0.001415852,0.0013932,0.04205192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297533,"about_ca_system_score_gemma":0.002031594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03580055,"about_ca_topic_score_gemma":0.06217698,"domain_scores_codex":[0.9992626,0.00009685793,0.0001159534,0.0002417716,0.0001772136,0.0001056011],"domain_scores_gemma":[0.998185,0.0005701084,0.000258727,0.0003140432,0.0005115418,0.0001606172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001466442,0.00004909872,0.004184321,0.00192761,0.0001215481,0.00006712189,0.0000430585,0.001049543,0.0002356932,0.000536623,0.9869623,0.004676446],"study_design_scores_gemma":[0.0004378492,0.0000357794,0.01534675,0.0005762256,0.00009786904,0.000101518,0.0001194865,0.001197006,0.0004865731,0.001157258,0.9803908,0.00005290344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001706653,0.00004492337,0.00002735631,0.00002884235,0.000008887108,0.00000412188,0.9994081,0.0001282313,0.0001787802],"genre_scores_gemma":[0.0004729195,0.00004026908,0.0001606733,0.00001703844,0.000002547433,0.00003393507,0.9990296,0.0000288404,0.0002141492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04120096,"threshold_uncertainty_score":0.137831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861132813060348,"score_gpt":0.2947422665024221,"score_spread":0.2661309383718187,"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."}}