{"id":"W6999409916","doi":"","title":"Comparison of growth intercept and site index models of black spruce plantations and natural stands in Northern Ontario / by Martin Kwiaton.","year":2007,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Site index; Black spruce; Natural (archaeology); Index (typography); Natural forest; Hydrology (agriculture)","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":[0.0001169411,0.0001934745,0.0003731629,0.0003472798,0.00008314101,0.000007471872,0.0002112768,0.0002030799,0.00008277539],"category_scores_gemma":[0.000007483499,0.0002227408,0.00004457604,0.0003362682,0.000318177,0.0001961575,0.000194872,0.0003579511,0.000008434986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282631,"about_ca_system_score_gemma":0.00003853013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00652095,"about_ca_topic_score_gemma":0.9960048,"domain_scores_codex":[0.9990518,0.00006255056,0.0002853773,0.0002867338,0.0001199618,0.0001935908],"domain_scores_gemma":[0.9994596,0.00007572963,0.0002153035,0.000147289,0.0000332184,0.00006890364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002737035,0.0002552503,0.9814511,0.0001096147,0.00003491643,0.000008407227,0.01448647,0.0001792332,0.0001062901,0.001917499,0.0007982888,0.0003792647],"study_design_scores_gemma":[0.0008816731,0.0001281748,0.9928602,0.0001208613,0.00008075155,7.546567e-7,0.002296753,0.0008961229,0.0002100352,0.0003866834,0.001902299,0.0002357148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426486,0.0001572284,0.0002080069,0.000009874194,0.00007397017,0.0002395762,0.00002789702,0.00001001903,0.0566248],"genre_scores_gemma":[0.9886358,0.000006073814,0.00001843623,0.000001025628,0.00000240833,7.678956e-7,0.0002742853,0.00001026974,0.01105095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9894838,"threshold_uncertainty_score":0.985777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254612543344386,"score_gpt":0.2427601163927527,"score_spread":0.2302139909593088,"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."}}