{"id":"W6967184607","doi":"10.5061/dryad.ns1rn8q3f","title":"Kin discrimination causes plastic responses in floral and clonal allocation","year":2024,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Rosette (schizont appearance); Stolon; Kin recognition; Ploidy; Crypsis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000440416,0.0003363277,0.0002972583,0.001022585,0.00005108797,0.0001817049,0.0001966854,0.0002786311,0.00009692907],"category_scores_gemma":[0.001180962,0.0003311635,0.00003982496,0.0004288232,0.0001356065,0.0002772788,0.0001613226,0.0004949631,0.008976382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003366642,"about_ca_system_score_gemma":0.0002152198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007315192,"about_ca_topic_score_gemma":0.01357483,"domain_scores_codex":[0.9980755,0.0002422885,0.0003696157,0.0005775235,0.0004553877,0.0002796387],"domain_scores_gemma":[0.9988962,0.0005065444,0.0001246776,0.0003430879,0.00005485355,0.00007459953],"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":[0.000327969,0.00007133338,0.00008811394,0.0003848906,0.00002748744,0.000130932,0.0001339052,0.00001566735,0.0002633023,0.0001017606,0.9983274,0.000127274],"study_design_scores_gemma":[0.000376446,0.00008788417,0.02272725,0.0006553328,0.0002281615,0.00002983038,0.00009198597,0.0002605844,0.00007304693,0.0004050587,0.9746338,0.0004306558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02079421,0.0006190595,0.000002750536,0.0001230947,0.0008472981,0.0002686781,0.9772502,0.00007938869,0.00001534076],"genre_scores_gemma":[0.01236008,0.0001271994,0.00003356902,0.00003325068,0.0002768257,0.0001039399,0.9868185,0.00007293524,0.0001737249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0236936,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015233340560191,"score_gpt":0.3168957192108176,"score_spread":0.2867433858052157,"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."}}