{"id":"W6893631808","doi":"10.5281/zenodo.3788305","title":"Lypoglossa angularis subsp. obtusa","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Nova Scotia Hospital","funders":"","keywords":"Cape; Moss; Taiga; Fauna; Litter","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008486864,0.0003619239,0.00012751,0.0008788225,0.0005778871,0.0002968974,0.0002695681,0.0001075876,0.00704785],"category_scores_gemma":[0.0001305152,0.0001046177,0.00008579841,0.0005590781,0.0002822571,0.0002458036,0.0004196977,0.0001776243,0.00201464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008953413,"about_ca_system_score_gemma":0.000349075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1608322,"about_ca_topic_score_gemma":0.3825139,"domain_scores_codex":[0.9999399,0.00000326312,0.000003511302,0.00002262457,0.00001314176,0.00001758069],"domain_scores_gemma":[0.9998912,0.00001055915,0.00003861929,0.00001200801,0.00002369253,0.0000238881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004651145,0.00009280907,0.6087114,0.0004108216,0.00006551541,0.00108731,0.00139403,0.0005576385,0.05455029,0.0009063991,0.01899714,0.3127615],"study_design_scores_gemma":[0.0000105923,0.00004276585,0.9495914,0.00005967793,0.00001862708,0.0006016228,0.0004918211,0.0001169907,0.0009240882,0.00007243314,0.04806374,0.000006273001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865229,0.002830857,0.00107396,0.0001673385,0.00008321037,0.00009563773,0.006669806,0.0003009561,0.1022554],"genre_scores_gemma":[0.9738148,0.001313714,0.0009916261,0.0001560336,0.00003036572,0.00003793505,0.006499088,0.00004274057,0.01711369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608322,"threshold_uncertainty_score":0.3197922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056050989577705,"score_gpt":0.2076339159245009,"score_spread":0.1870734060287239,"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."}}