{"id":"W2613288216","doi":"10.1007/978-94-024-1098-3","title":"Hemispherical Photography in Forest Science: Theory, Methods, Applications","year":2017,"lang":"en","type":"book","venue":"Managing forest ecosystems","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Université de Sherbrooke","funders":"","keywords":"Photography; Computer science; Geography; Environmental science; Visual arts; Art","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":[0.0006508221,0.0007134203,0.0005375722,0.001392149,0.0003702005,0.001958233,0.0007836049,0.0008849954,0.01179207],"category_scores_gemma":[0.000810765,0.0003004198,0.0002628275,0.002947765,0.001154078,0.002567916,0.0007598082,0.001188074,0.003250663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009321274,"about_ca_system_score_gemma":0.0007316787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003004851,"about_ca_topic_score_gemma":0.007694697,"domain_scores_codex":[0.9997314,0.00005508402,0.000009272576,0.00003379273,0.0001580065,0.00001237061],"domain_scores_gemma":[0.9995551,0.0002867657,0.00002016765,0.00004503722,0.00007224842,0.00002078701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001625748,0.00003235523,0.0005122389,0.0005872929,0.000022358,0.00005727895,0.0001863592,0.003600311,0.001881855,0.1380781,0.1382523,0.7167734],"study_design_scores_gemma":[0.000008448928,0.00003462257,0.003469726,0.0006140551,0.00002431434,0.0004436028,0.0002446527,0.008791762,0.001258262,0.1782566,0.8068206,0.00003327842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.003586098,0.5060751,0.1965846,0.004252834,0.003166742,0.00008552196,0.0005299517,0.0005939855,0.2851252],"genre_scores_gemma":[0.05697095,0.4261677,0.1682947,0.002432459,0.005534487,0.0001983788,0.0008134529,0.00037811,0.3392096],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01179207,"threshold_uncertainty_score":0.03944838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090788750720251,"score_gpt":0.2796258106584082,"score_spread":0.2687179231512057,"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."}}