{"id":"W7162285419","doi":"10.21966/64tt-jh34","title":"Hyperspectral Imagery - Calvert Island - 2012","year":2012,"lang":"","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Hyperspectral imaging; Lidar; Radiance; Altitude (triangle); Pixel; Ground sample distance; Orientation (vector space)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002059763,0.004042307,0.003588701,0.001890633,0.001661862,0.001117532,0.003812017,0.002994492,0.05236954],"category_scores_gemma":[0.000601674,0.004273015,0.001749585,0.001985175,0.004206998,0.008907214,0.001832242,0.005545038,0.5784203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419241,"about_ca_system_score_gemma":0.002915957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328704,"about_ca_topic_score_gemma":0.006634401,"domain_scores_codex":[0.9843507,0.000636277,0.002773336,0.003362516,0.002930522,0.005946636],"domain_scores_gemma":[0.9881898,0.0002093267,0.001831384,0.006426346,0.0005673107,0.002775845],"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":[0.0006056235,0.002331534,0.0001154213,0.0007621897,0.001604836,0.001750625,0.000275292,0.00005104808,0.001512633,0.0007125452,0.9895591,0.0007191842],"study_design_scores_gemma":[0.003252829,0.0002047673,0.000365742,0.0008353184,0.003619768,0.001779793,0.00006256954,0.00004351856,0.0003249859,0.00008187265,0.9846532,0.004775641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006178857,0.01879587,0.0001713425,0.000243063,0.02526316,0.002129009,0.9390048,0.000454765,0.01332007],"genre_scores_gemma":[0.0007348118,0.004278636,0.001309829,0.0007962175,0.01385777,0.0002490864,0.9667981,0.0007987146,0.01117687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5260507,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811483100498272,"score_gpt":0.2789360576476407,"score_spread":0.2508212266426579,"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."}}