{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008792648,0.000374739,0.000294927,0.0004369585,0.0007278202,0.0008347549,0.0007619377,0.000312125,0.01177519],"category_scores_gemma":[0.002177102,0.0002328087,0.0005244966,0.0004971661,0.0002621063,0.0002694858,0.0003212932,0.0003289588,0.001570914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005631349,"about_ca_system_score_gemma":0.003580702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8704742,"about_ca_topic_score_gemma":0.9389061,"domain_scores_codex":[0.9998647,0.00003626484,0.000006349246,0.00003834333,0.00002952675,0.00002479014],"domain_scores_gemma":[0.9993868,0.0002776021,0.00004689162,0.00003214909,0.0001745315,0.00008196977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001155208,0.0002815396,0.5926073,0.0003129446,0.0004933217,0.000468594,0.001200081,0.2138689,0.005236827,0.00208379,0.08708087,0.09521063],"study_design_scores_gemma":[0.0001707049,0.000101873,0.729417,0.000113177,0.0001709413,0.0001268315,0.001165184,0.2483472,0.001135332,0.001278054,0.01789642,0.00007735968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705006,0.001159979,0.005170275,0.001248142,0.0001517428,0.00008260774,0.01047336,0.0004310607,0.01078216],"genre_scores_gemma":[0.9693788,0.0004790763,0.002373232,0.00006633898,0.00003658527,0.00003710425,0.009045811,0.0002237637,0.01835922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1295258,"threshold_uncertainty_score":0.2605773,"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."}}