{"id":"W2567653062","doi":"10.5061/dryad.6p1j0","title":"Data from: Individual chambers for controlling crosses in wind pollinated plants","year":2016,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003762891,0.0008092217,0.0007525943,0.001943041,0.001232733,0.001259151,0.002013474,0.0007622343,0.128018],"category_scores_gemma":[0.007841871,0.0007357916,0.0005546477,0.001279661,0.0006092001,0.001753378,0.00189956,0.001699502,0.03077862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007209401,"about_ca_system_score_gemma":0.001419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002175153,"about_ca_topic_score_gemma":0.007991789,"domain_scores_codex":[0.9972128,0.0004619466,0.0005016976,0.0006560048,0.0009718199,0.0001957489],"domain_scores_gemma":[0.9848489,0.00446899,0.001553848,0.005176161,0.002809411,0.001142698],"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":[0.005616339,0.001613792,0.03847787,0.002753126,0.0003082811,0.0007608664,0.001985016,0.001566991,0.2819653,0.005116096,0.3583768,0.3014596],"study_design_scores_gemma":[0.0007619615,0.0008684074,0.1055888,0.0003747962,0.0002722596,0.0004452195,0.0003209522,0.01051306,0.1794284,0.002077162,0.6990843,0.0002646197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.104002,0.0006553193,0.2283427,0.001075879,0.00199965,0.00757768,0.4598955,0.09651299,0.09993847],"genre_scores_gemma":[0.3175079,0.0004947507,0.3162135,0.001185471,0.0003742901,0.0218366,0.2319834,0.032988,0.07741607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.128018,"threshold_uncertainty_score":0.4282628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508570397858489,"score_gpt":0.262612960838589,"score_spread":0.2075272568600041,"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."}}