{"id":"W6926133249","doi":"10.21966/mq9t-bw79","title":"LIDAR Derived Forest Metrics - Calvert Island - British Columbia - Canada","year":2016,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"Microbial metabolism and enzyme function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lidar; Canopy; Tree canopy; Vegetation (pathology); Forest ecology; Geographic information system; Point cloud; Forest inventory","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009978595,0.0002642554,0.0003643529,0.00004492863,0.0002225085,0.0001686438,0.0004180203,0.0005244741,0.0004139532],"category_scores_gemma":[0.0002502276,0.0003405236,0.0001194881,0.0001463999,0.0001210432,0.00001051356,0.0002201401,0.0002073378,0.00003781278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007525568,"about_ca_system_score_gemma":0.001279219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9361089,"about_ca_topic_score_gemma":0.9989794,"domain_scores_codex":[0.9983745,0.0000418958,0.0003232012,0.0005990966,0.0002428206,0.0004184903],"domain_scores_gemma":[0.9988455,0.000008221779,0.0001695524,0.0006691602,0.0001301729,0.0001773929],"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":[0.00001853184,0.00002695596,0.0001509667,0.00006956139,0.00009881546,0.00007766839,5.384196e-7,0.00000277782,0.003235333,5.990639e-7,0.9955442,0.0007740393],"study_design_scores_gemma":[0.0005908172,0.0000540074,0.0006171417,0.00007939331,0.0001065229,0.00009335669,0.000001595606,3.059376e-7,0.0006807787,0.000006470413,0.997305,0.0004645766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0163103,0.001358253,0.0002345156,0.00003103944,0.005061429,0.0002485384,0.9765908,0.00001126536,0.0001538281],"genre_scores_gemma":[0.0013187,0.002613413,0.0000531269,0.0009052492,0.001843384,0.00003322829,0.9879342,0.00003344266,0.0052652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0628706,"threshold_uncertainty_score":0.9999047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006361094718519348,"score_gpt":0.1941735650755241,"score_spread":0.1878124703570048,"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."}}