{"id":"W2102416538","doi":"10.1071/fpv35n10_fo","title":"<i>Foreword</i> : Studying plants with functional–structural models","year":2008,"lang":"en","type":"article","venue":"Functional Plant Biology","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Plant biology; Biology; Plant science; Function (biology); Publishing; Ecophysiology; Agriculture; Computational biology; Ecology; Evolutionary 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008191711,0.001140868,0.001161649,0.0008391024,0.001265668,0.002406456,0.001872033,0.002951586,0.02784594],"category_scores_gemma":[0.002981415,0.0002742269,0.0009749263,0.0009811546,0.001290789,0.002520519,0.0008744214,0.004592085,0.02294816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182045,"about_ca_system_score_gemma":0.0006935294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001866436,"about_ca_topic_score_gemma":0.001787095,"domain_scores_codex":[0.9996229,0.0000667044,0.00002435506,0.00007348213,0.0001738173,0.00003873813],"domain_scores_gemma":[0.997961,0.0008383038,0.0001412185,0.0001543588,0.0006860098,0.000219126],"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":[0.00001902362,0.000007779246,0.00003661588,0.0002129433,0.00001379953,0.00003750655,0.000012961,0.0003194798,0.001025293,0.01701371,0.965755,0.01554579],"study_design_scores_gemma":[0.0000235801,0.0000640376,0.0003851104,0.0002191445,0.00003786793,0.0003524057,0.0000447272,0.002732501,0.002650249,0.07412042,0.919323,0.00004689154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001596776,0.03360828,0.04203711,0.2793036,0.5693045,0.0001145721,0.001575277,0.001568923,0.0708909],"genre_scores_gemma":[0.04468972,0.03592212,0.0265981,0.1952962,0.4528924,0.0004779804,0.003064548,0.003412013,0.2376471],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02784594,"threshold_uncertainty_score":0.09315395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05178032514590697,"score_gpt":0.1877783273576009,"score_spread":0.1359980022116939,"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."}}