{"id":"W4282928539","doi":"10.5281/zenodo.6647198","title":"TECHNOLOGY FOR GROWING CANADIAN SAGE (CERCIS CANADENSIS) SEEDLINGS","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAGE; Botany; Biology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004498508,0.00009288873,0.00008438899,0.0002603694,0.003784619,0.0001805856,0.000751201,0.00003031853,0.04475057],"category_scores_gemma":[0.0001435075,0.0001126179,0.00003567991,0.0006785027,0.00009529979,0.0001654213,0.001139407,0.0001763359,0.001874755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879273,"about_ca_system_score_gemma":0.000004690938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123898,"about_ca_topic_score_gemma":0.001395644,"domain_scores_codex":[0.9987426,0.00008251485,0.0001482391,0.0003418885,0.0002827665,0.0004020162],"domain_scores_gemma":[0.9994418,0.00000886816,0.00005409914,0.0002619778,0.00003803275,0.0001952003],"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":[0.00003211526,0.00007298942,0.00005068593,0.0000196961,0.00003686617,0.00003773925,0.001452973,0.004369581,0.005558325,0.01348826,0.6290978,0.345783],"study_design_scores_gemma":[0.0002578585,0.00009872335,0.0006806333,0.000002465045,0.000008588277,0.00003013666,0.001402005,0.0009566788,0.0001098533,0.0003450493,0.9959764,0.0001316481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1891977,0.0002029441,0.02477543,0.06395578,0.001060456,0.005057507,0.00177931,0.003479627,0.7104912],"genre_scores_gemma":[0.9923238,0.00001148102,0.0006326631,0.00134757,0.00002897027,5.080029e-7,0.0005254969,0.0005595998,0.004569903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.803126,"threshold_uncertainty_score":0.9989024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706665205908062,"score_gpt":0.2047378761227381,"score_spread":0.1876712240636575,"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."}}