{"id":"W2917332414","doi":"10.1101/557819","title":"Characterizing grapevine ( <i>Vitis</i> spp.) inflorescence architecture using X-ray imaging: implications for understanding cluster density","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dalhousie University; Donald Danforth Plant Science Center; National Science Foundation","keywords":"Inflorescence; Context (archaeology); Trait; Phylogenetic tree; Phylogenetics; Clade; Variation (astronomy)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005448423,0.000658842,0.0006587463,0.00006856772,0.0007372334,0.0006849719,0.000828318,0.00041811,0.00004233069],"category_scores_gemma":[0.0002893485,0.0003138065,0.0003774679,0.0005844987,0.0001828742,0.0003236487,0.0007554642,0.0008735266,0.00003118078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988741,"about_ca_system_score_gemma":0.0001216669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378431,"about_ca_topic_score_gemma":0.00002803971,"domain_scores_codex":[0.9964858,0.0001564875,0.0005967007,0.001271007,0.0004221242,0.001067838],"domain_scores_gemma":[0.9978257,0.000307874,0.0004212015,0.000407573,0.0006312761,0.0004063451],"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":[0.00004279179,0.00005952053,0.01184507,0.0001942536,0.00005678313,0.000004966432,0.00001241642,0.00006596981,0.987192,0.0003068144,0.0001819124,0.0000374996],"study_design_scores_gemma":[0.0006164702,0.0001392383,0.8796263,0.001125774,0.0002430641,4.6188e-7,0.00005405166,0.001876642,0.1055173,0.0001002117,0.008607576,0.002092839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875792,0.000314226,0.003098558,0.005315672,0.0006135654,0.00197753,0.0008071355,0.0002875037,0.000006578143],"genre_scores_gemma":[0.9961508,0.0001219442,0.001754629,0.0007789559,0.0009836899,0.0001715177,0.00001164623,0.0000163202,0.00001049189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8816746,"threshold_uncertainty_score":0.9999314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982571071836431,"score_gpt":0.2604379126409387,"score_spread":0.2106122019225744,"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."}}