{"id":"W4237337185","doi":"10.7287/peerj.preprints.553v1","title":"Models of knot and stem development in black spruce trees indicate a shift in allocation priority to branches when growth is limited","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université Laval","funders":"","keywords":"Knot (papermaking); Black spruce; Canopy; Mathematics; Tree (set theory); Horticulture; Botany; Biology; Combinatorics; Ecology","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":[0.000433124,0.0004004772,0.0002807498,0.0003943759,0.0003296065,0.0005873577,0.0006358857,0.0005517656,0.0007553034],"category_scores_gemma":[0.0009209579,0.0003926788,0.0008587222,0.0002284178,0.0005803826,0.0004832438,0.000340407,0.0004199871,0.0001505625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009923413,"about_ca_system_score_gemma":0.000443059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01531301,"about_ca_topic_score_gemma":0.01822756,"domain_scores_codex":[0.9999126,0.00002091085,0.000003590703,0.00003373586,0.000009946372,0.00001928079],"domain_scores_gemma":[0.9996333,0.0001803781,0.00009770429,0.00001863759,0.00002477257,0.00004519906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009645674,0.00003957101,0.0380697,0.00004100076,0.00004510149,0.0001210941,0.0001773318,0.9463778,0.009596358,0.002532475,0.0001298775,0.002773298],"study_design_scores_gemma":[0.00001225095,0.00006979333,0.03101658,0.00000804637,0.0000205956,0.00008964965,0.00004617115,0.9656267,0.001109192,0.001688825,0.0002946482,0.00001755524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927079,0.0001273339,0.006046511,0.0000447416,0.000003612814,0.000005231654,0.00008574472,0.00003886028,0.0009399641],"genre_scores_gemma":[0.9977046,0.00007557429,0.001528881,0.000006255051,0.000001486642,0.00000942602,0.00006006542,0.00001058146,0.0006032932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01531301,"threshold_uncertainty_score":0.03044772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955376779150683,"score_gpt":0.219428596237497,"score_spread":0.1998748284459902,"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."}}