{"id":"W4283808440","doi":"10.3390/plants11131769","title":"The Modified Brière Equation and Its Applications","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Key Research and Development Program of China","keywords":"Sigmoid function; Mathematics; Structural equation modeling; Goodness of fit; Growth rate; Growth curve (statistics); Statistics; Mathematical analysis; Applied mathematics; Computer science; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001453911,0.00002700872,0.00002431984,0.000001272611,0.0007259541,0.00002542964,0.00008471256,0.000006988963,0.00005313595],"category_scores_gemma":[0.000007458097,0.000007726361,0.000008479,0.0000454554,0.000006181317,0.00001865686,0.00005265242,0.00003849592,0.00001019513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008858457,"about_ca_system_score_gemma":0.000001676301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004428886,"about_ca_topic_score_gemma":0.00005102372,"domain_scores_codex":[0.9996518,0.00002908053,0.00004960876,0.00007467817,0.000118919,0.00007586138],"domain_scores_gemma":[0.9998763,0.00005860639,0.0000193403,0.00001687313,0.000009510304,0.00001940686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006764795,0.0000772093,0.001306045,0.00000528056,0.00001680105,9.940438e-7,0.0002300082,0.00006959434,0.1233007,0.007714614,0.002815245,0.8643959],"study_design_scores_gemma":[0.0001765705,0.0001600327,0.06316443,0.000003122204,0.000007626034,0.0000115023,0.000935772,0.004462811,0.002309641,0.001916876,0.9266858,0.0001658436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926518,0.001446981,0.000006019991,0.003977156,0.00005305887,0.0002578546,0.00004916859,0.00002306696,0.001534935],"genre_scores_gemma":[0.9990696,0.00007803569,0.000001305468,0.0001448298,0.00004864905,0.0001259685,0.00001997346,1.644098e-7,0.0005114625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9238705,"threshold_uncertainty_score":0.5583525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07030106767133099,"score_gpt":0.2077490703028044,"score_spread":0.1374480026314734,"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."}}