{"id":"W2889252615","doi":"10.1111/nph.15358","title":"Nano‐engineering pollination","year":2018,"lang":"en","type":"letter","venue":"New Phytologist","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Pollination; Biology; Botany; Ecology; Astrobiology; Pollen","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"],"consensus_categories":[],"category_scores_codex":[0.00009688587,0.0003100582,0.0002711283,0.00007446483,0.00004209024,0.00001960549,0.0003719733,0.001254676,0.00003781927],"category_scores_gemma":[0.0002643649,0.0002940919,0.0001156169,0.00007030582,0.0001400378,0.000001997719,0.0001330995,0.000439704,0.0001322919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003389726,"about_ca_system_score_gemma":0.0001432554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003936552,"about_ca_topic_score_gemma":0.00001770637,"domain_scores_codex":[0.9984538,0.00004903113,0.0002021518,0.0007926871,0.0001154635,0.0003868416],"domain_scores_gemma":[0.9990625,0.00001532055,0.000149133,0.000638616,0.00009100264,0.00004336365],"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":[0.00001538707,0.000005788883,0.0001503053,0.00002101258,0.00005444208,0.00002450827,0.000002091752,0.00000362164,0.16136,0.00001043915,0.838021,0.000331393],"study_design_scores_gemma":[0.0001500818,0.0001850934,0.0003137548,0.00001280741,0.00001909561,0.0001040181,6.417764e-7,0.000003835233,0.08033022,0.0000519104,0.9185226,0.0003059729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03743856,0.006340983,0.008484351,0.9185111,0.01123067,0.001319527,0.0005913284,0.0003936797,0.01568982],"genre_scores_gemma":[0.04573835,0.000548674,0.009671451,0.6863855,0.1545495,0.0001139736,0.01756349,0.0003153738,0.08511367],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2321256,"threshold_uncertainty_score":0.9999511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452635806516196,"score_gpt":0.2411506137704692,"score_spread":0.2266242557053073,"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."}}