{"id":"W6968873892","doi":"10.5281/zenodo.7888851","title":"Rosa rubus H. Lev. & Vaniot","year":2014,"lang":"de","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Rubus; Cultivar; Yield (engineering)","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":[0.0001505565,0.0008708602,0.0005738335,0.001289903,0.000560191,0.0003252035,0.0007271948,0.0002368782,0.0218797],"category_scores_gemma":[0.00009355193,0.0002827931,0.0003815281,0.0005741617,0.0001673664,0.0003280171,0.0004786695,0.0006467479,0.02315455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005789,"about_ca_system_score_gemma":0.0003459674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004280543,"about_ca_topic_score_gemma":0.00646319,"domain_scores_codex":[0.9998719,0.000007638794,0.000006237884,0.00004339028,0.00005979373,0.00001104037],"domain_scores_gemma":[0.9998862,0.000008928261,0.00002037396,0.00001256002,0.00003246012,0.00003948078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002989763,0.000122674,0.0004842782,0.0004801415,0.00002395758,0.0002207014,0.00004669475,0.0001896033,0.8672366,0.001345697,0.01650409,0.1130465],"study_design_scores_gemma":[0.00009676043,0.0004520404,0.01776708,0.00009802396,0.00008111002,0.001032795,0.00008234489,0.0005995391,0.1848945,0.0009494608,0.7938966,0.00004972713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1887303,0.04686865,0.04948127,0.00450306,0.001757181,0.001338687,0.0299359,0.01306564,0.6643193],"genre_scores_gemma":[0.3118835,0.009114597,0.02659964,0.001301796,0.0002725673,0.0003817288,0.0272197,0.001460952,0.6217656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0218797,"threshold_uncertainty_score":0.07319492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04828875914885533,"score_gpt":0.2300318340622797,"score_spread":0.1817430749134244,"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."}}