{"id":"W2117324593","doi":"10.1139/x05-136","title":"A new, proportional method for reconstructing historical tree diameters","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Pith; RADIUS; Mathematics; Tree (set theory); Geometry; Botany; Mathematical analysis; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002360986,0.00007461081,0.0001392278,0.0003000018,0.0002988525,0.00003609778,0.0003572551,0.00007099024,0.002088682],"category_scores_gemma":[0.0006100253,0.00006633479,0.00009907997,0.0002476387,0.0001613534,0.0002242442,0.00003577468,0.0003455289,0.00007695563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002418023,"about_ca_system_score_gemma":0.0006968161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01012829,"about_ca_topic_score_gemma":0.4142536,"domain_scores_codex":[0.9985691,0.00009822812,0.0003125233,0.0001579918,0.0003253524,0.0005367995],"domain_scores_gemma":[0.9987523,0.0001871394,0.0001120541,0.0001207305,0.00006055923,0.0007672432],"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":[0.00006701563,0.00002443806,0.2907277,0.000008940824,0.00004075042,0.00008243306,0.0003297982,0.002168089,0.00007475176,0.01049645,0.4563181,0.2396615],"study_design_scores_gemma":[0.0007470031,0.0005299195,0.1512137,0.00001739919,0.00001726778,0.0002289868,0.0001288422,0.0009951835,0.0001045668,0.03046717,0.8154058,0.0001441389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6107328,0.0006177857,0.2739748,0.05329939,0.002575451,0.001782787,0.00001564369,0.00002239838,0.05697894],"genre_scores_gemma":[0.6187607,0.000008184555,0.3659093,0.0002472844,0.0007057145,0.0000242953,0.000002475855,0.00002272562,0.01431931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4041253,"threshold_uncertainty_score":0.9988235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032767892446904,"score_gpt":0.3255280738191826,"score_spread":0.2752003948947136,"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."}}