{"id":"W2669830443","doi":"","title":"Nectar and Pollen Producing Plants in Manitoba","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pollen; Nectar; Environmental science; Botany; Horticulture; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965519,0.0001122102,0.0001215052,0.00001253373,0.0003002289,0.00009883301,0.0001421895,0.0000555863,0.00005590242],"category_scores_gemma":[0.00003090073,0.0000252098,0.00002745519,0.0002659037,0.00008479472,0.0001374885,0.00008927788,0.00005560103,0.00006168838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001851098,"about_ca_system_score_gemma":0.000002569478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001631345,"about_ca_topic_score_gemma":0.0246689,"domain_scores_codex":[0.999006,0.00002517619,0.0001161452,0.0004077608,0.0001643116,0.0002805858],"domain_scores_gemma":[0.9997928,0.00005986922,0.00003808628,0.00002051801,0.00002693718,0.00006181369],"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":[0.00001170344,0.00003280296,0.07377649,0.000003253904,0.000004434723,0.0000104755,0.0002378791,8.728654e-8,0.8819707,0.0000709406,0.01685587,0.02702536],"study_design_scores_gemma":[0.0001040943,0.00003619273,0.9512331,0.00006833686,0.000002323473,0.00001533959,0.0007779294,6.514153e-7,0.004559912,0.0002156202,0.04284422,0.0001422858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962614,0.0004780114,1.065737e-7,0.002063033,0.0001606875,0.0001278762,0.00008077691,0.00004254541,0.0007855296],"genre_scores_gemma":[0.9963675,0.00007661404,0.00001359429,0.00003654621,0.0001957355,0.000006971385,0.0000115942,3.343351e-7,0.003291068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8774566,"threshold_uncertainty_score":0.9931284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898276490278961,"score_gpt":0.1775002622779747,"score_spread":0.1485174973751851,"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."}}