{"id":"W3014139115","doi":"10.17504/protocols.io.29bgh2n","title":"Canopy Trees Survey Protocol - Forests of Southern Québec v1","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Canopy; Diameter at breast height; Forestry; Tree canopy; Geography; Forest inventory; Dominance (genetics); Crown (dentistry); Environmental science; Remote sensing; Cartography; Physical geography; Biology; Forest management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0037515,0.0006585399,0.0005661835,0.001690401,0.003480816,0.001569172,0.002112718,0.0006690845,0.1150716],"category_scores_gemma":[0.003545163,0.0005620102,0.0004001987,0.00258886,0.0005660445,0.0005521518,0.0008855661,0.001068428,0.01660875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0161599,"about_ca_system_score_gemma":0.02816772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8913885,"about_ca_topic_score_gemma":0.9621704,"domain_scores_codex":[0.9981813,0.0004974052,0.0001091974,0.0003134678,0.0005583374,0.0003402402],"domain_scores_gemma":[0.9951804,0.0002815347,0.000187926,0.0005084946,0.003412737,0.0004289184],"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":[0.001127872,0.000627943,0.02764646,0.0007113077,0.00007279363,0.0002770271,0.001280749,0.001594091,0.004018218,0.006387561,0.8194625,0.1367934],"study_design_scores_gemma":[0.0005414413,0.000247304,0.139571,0.0005967991,0.00004309044,0.00008572435,0.001186392,0.002470753,0.001210925,0.0009645121,0.8529786,0.0001034487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.05688288,0.0009396437,0.0407346,0.001991311,0.0005712043,0.1069477,0.5583537,0.004180914,0.229398],"genre_scores_gemma":[0.1292599,0.001415332,0.117179,0.003015629,0.000250182,0.1770731,0.3190142,0.001037088,0.2517556],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1150716,"threshold_uncertainty_score":0.3849527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256066482437908,"score_gpt":0.2753379978495749,"score_spread":0.2527773330251958,"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."}}