{"id":"W2804465465","doi":"10.60910/43xd-kev5","title":"Remote sensing based estimates of surface wetness conditions and growing degree days over northern Alberta, Canada","year":2024,"lang":"en","type":"article","venue":"Työväentutkimus Vuosikirja","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Degree (music); Remote sensing; Environmental science; Physical geography; Geography; Hydrology (agriculture); Forestry; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001440895,0.0002031038,0.0002075806,0.0000383267,0.0002347756,0.00006324588,0.0001254693,0.00006689081,0.0002587486],"category_scores_gemma":[0.00004462765,0.0001952848,0.00005758446,0.0003467258,0.0002286703,0.000161674,0.00008289273,0.000156073,0.00004977583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189185,"about_ca_system_score_gemma":0.0001316275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7409915,"about_ca_topic_score_gemma":0.6744787,"domain_scores_codex":[0.9986565,0.00003979067,0.0002741677,0.0004087154,0.0003223924,0.0002984124],"domain_scores_gemma":[0.9990225,0.0004095252,0.00006547543,0.0003471884,0.00001717423,0.0001381342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008410584,0.0002064536,0.04884089,0.0008284468,0.0004473359,0.0003694332,0.003773226,0.1707596,0.3158191,0.001925325,0.03763589,0.4193102],"study_design_scores_gemma":[0.0004423351,0.00004058519,0.04194672,0.0003272559,0.0001804778,0.00008571809,0.0002145261,0.8962716,0.01930436,0.001239966,0.03929507,0.0006513614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814824,0.0001396434,0.005365426,0.0011762,0.0001943283,0.0002069401,0.00004478437,0.00008041353,0.01130984],"genre_scores_gemma":[0.9937832,0.000007438908,0.005419535,0.0002470981,0.00002826981,2.217509e-7,0.00004435155,0.00003567292,0.0004341808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7255121,"threshold_uncertainty_score":0.7963481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009885228766049303,"score_gpt":0.2269982118591179,"score_spread":0.2171129830930686,"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."}}