{"id":"W6926446980","doi":"10.25345/c56414","title":"MassIVE MSV000085332 - Honey bee larvae exposed to pesticide mixtures","year":2020,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bee pollen; Pesticide; Honey bee; Larva; Honey Bees; Pollinator","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":["insufficient_payload"],"category_scores_codex":[0.00008097968,0.0003731253,0.0003341302,0.00008654924,0.0001892713,0.0001244576,0.0006188183,0.0002212125,0.02087806],"category_scores_gemma":[0.0003199,0.0003591094,0.0001341819,0.0003199487,0.00009136528,0.000197393,0.0004173224,0.0004407055,0.02075318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170216,"about_ca_system_score_gemma":0.00003763498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108113,"about_ca_topic_score_gemma":0.002245854,"domain_scores_codex":[0.9980262,0.00008461723,0.000372444,0.0006724063,0.0004703393,0.0003740263],"domain_scores_gemma":[0.9988811,0.0001193484,0.0001968804,0.0004784754,0.00001782718,0.0003063433],"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":[0.00003824728,0.00006754493,0.0004667895,0.00001527075,0.00003143898,0.00007202313,0.00007304663,0.0001647171,0.002715725,0.000003803808,0.9956845,0.0006668895],"study_design_scores_gemma":[0.0001649514,0.0001537995,0.004500783,0.00006262034,0.0000703564,0.000008774833,0.00006015546,0.00005374672,0.001285231,0.00005657828,0.99316,0.0004230123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006670814,0.0000344987,0.0001263306,0.002224143,0.0007618765,0.0005771408,0.9883139,0.00008921699,0.001202072],"genre_scores_gemma":[0.005015599,0.00004185452,0.0009127763,0.01638497,0.0005454872,0.0001671143,0.9755108,0.00005131613,0.00137004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01416083,"threshold_uncertainty_score":0.9998861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559313581688229,"score_gpt":0.2431248069432255,"score_spread":0.2275316711263432,"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."}}