{"id":"W4402148135","doi":"","title":"The TreeTrace Douglas database: quality assessment and traceability of Douglas fir","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Douglas fir; Traceability; Computer science; Database; Quality (philosophy); Forestry; Software engineering; Geography","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":[0.003422992,0.001631053,0.001505571,0.00733216,0.0006336681,0.002153771,0.00249471,0.001609343,0.003738738],"category_scores_gemma":[0.007645748,0.0005058366,0.00112823,0.005909069,0.0003642745,0.001796464,0.001436179,0.0005882846,0.004768478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076888,"about_ca_system_score_gemma":0.003270692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05752144,"about_ca_topic_score_gemma":0.05217955,"domain_scores_codex":[0.9981218,0.0001541748,0.0003268663,0.0004587206,0.0007752727,0.0001630986],"domain_scores_gemma":[0.9920875,0.001279111,0.001037379,0.002344804,0.002559813,0.0006912191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003595661,0.001517815,0.3034502,0.004342464,0.001791051,0.0007519508,0.00100408,0.03639873,0.06068008,0.004547195,0.2674074,0.3145134],"study_design_scores_gemma":[0.0006877548,0.0006636357,0.5436074,0.0006379844,0.0009501647,0.001052327,0.0006282961,0.04900292,0.03698242,0.004988902,0.3603276,0.0004706479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1319088,0.001324606,0.02348981,0.0001576645,0.00007373381,0.0002629651,0.8254207,0.01346964,0.003892049],"genre_scores_gemma":[0.08407813,0.0004740564,0.01774839,0.00006667484,0.00001872677,0.0001566899,0.8949308,0.0009042881,0.001622239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05752144,"threshold_uncertainty_score":0.1143733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242952061099208,"score_gpt":0.2807216817191143,"score_spread":0.2582921611081222,"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."}}