{"id":"W2056840387","doi":"10.1126/science.1198346","title":"Pollen Gets More Complex","year":2010,"lang":"en","type":"letter","venue":"Science","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pollen; Computer science; Biology; Botany","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":[],"consensus_categories":[],"category_scores_codex":[0.0003021968,0.0002066527,0.0001753814,0.00009603368,0.0001521828,0.00003394478,0.001088323,0.0008886512,0.00003958354],"category_scores_gemma":[0.000266237,0.0001745051,0.00006401382,0.0001047755,0.001687992,0.000002818179,0.000406956,0.001004742,0.00007376237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001794535,"about_ca_system_score_gemma":0.0003460325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001694874,"about_ca_topic_score_gemma":0.00001530406,"domain_scores_codex":[0.9980428,0.00003120463,0.0001313515,0.001037474,0.0002630387,0.0004941222],"domain_scores_gemma":[0.9987611,0.000008232612,0.0001042449,0.0009084937,0.0001591193,0.00005882558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002914805,0.000003444905,0.00008652566,0.000004655007,0.000004674881,0.00002097671,0.000005664264,1.452816e-7,0.5964095,0.000002057104,0.4031156,0.0003438131],"study_design_scores_gemma":[0.00005622154,0.00005556989,0.00313493,0.000003538446,0.000004929929,0.000110735,0.000003107797,0.000002504773,0.07664237,0.00004028068,0.9197274,0.0002183416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1490065,0.001014825,0.00008605891,0.8337213,0.003416443,0.000551199,0.0004283189,0.00005754891,0.01171774],"genre_scores_gemma":[0.02385694,0.0001186556,0.002826083,0.9478235,0.01136361,0.00003151814,0.001563173,0.00004779275,0.01236876],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5197671,"threshold_uncertainty_score":0.7116113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923816595273437,"score_gpt":0.2803033062263008,"score_spread":0.2610651402735664,"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."}}