{"id":"W6963817575","doi":"10.21963/12526","title":"Geo-referenced digital photographs and videos with associated GPS waypoints and tracks for terrestrial ecosystem types from Victoria Island, King William Island and continental Nunavut, 2014","year":2016,"lang":"en","type":"dataset","venue":"Canadian Cryospheric Information Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Satellite; Satellite imagery; Arctic; Ecosystem; Vegetation (pathology); Geographic coordinate system; Aerial photography; Photography","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004120825,0.0008458861,0.001027372,0.0002023431,0.0005469829,0.001557527,0.0003018507,0.00080514,0.0002441329],"category_scores_gemma":[0.0002376959,0.0006975469,0.00009466909,0.0003563217,0.0002091385,0.002115203,0.00007793064,0.0004295743,0.0001117291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270833,"about_ca_system_score_gemma":0.0006039416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02121906,"about_ca_topic_score_gemma":0.6707427,"domain_scores_codex":[0.9968112,0.00009770116,0.001027832,0.0005652822,0.0004245058,0.001073443],"domain_scores_gemma":[0.9967942,0.0004592281,0.001220319,0.000435504,0.0002411031,0.0008496913],"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":[0.0005607478,0.000009379776,0.005842465,0.00009494898,0.000526536,0.00000864339,0.0002818455,0.00003906784,8.328008e-7,0.000005479438,0.9913784,0.001251671],"study_design_scores_gemma":[0.006242783,0.0002734624,0.003090519,0.0009656615,0.0003756989,0.00003747432,0.0001383275,0.001037356,8.177767e-7,0.0001313071,0.9866247,0.001081953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03742708,0.0003906318,0.0001305786,0.0000196613,0.001254774,0.00195156,0.9584759,0.00007900609,0.000270739],"genre_scores_gemma":[0.1073354,0.0002378153,0.00009827661,0.0001786299,0.001107648,0.0001455908,0.8907605,0.00009673088,0.00003942005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6495236,"threshold_uncertainty_score":0.9995475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005067141456130302,"score_gpt":0.1880797296668017,"score_spread":0.1830125882106714,"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."}}