{"id":"W6962478980","doi":"10.1594/pangaea.964754","title":"Soil temperature and water content data from a forest, lowshrub and lichen vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec","year":2024,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020","keywords":"Ecotone; Tundra; Snow; Shrub; Vegetation (pathology); Lichen; Soil water","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":[0.006891598,0.0004406735,0.0004902022,0.0004327761,0.0006449106,0.005050932,0.00294807,0.0003524494,0.000004811053],"category_scores_gemma":[0.0002690061,0.0002754063,0.00005247852,0.0004634901,0.0006338188,0.003494659,0.004447952,0.001139744,0.000009029217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251116,"about_ca_system_score_gemma":0.0001152869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6661309,"about_ca_topic_score_gemma":0.9845589,"domain_scores_codex":[0.9954132,0.000513324,0.0006466683,0.00171181,0.0008117474,0.0009032288],"domain_scores_gemma":[0.9970365,0.0006118014,0.0001273351,0.002000722,0.00003850169,0.0001852124],"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":[0.00006943408,0.0001728006,0.005298718,0.000612527,0.0000761112,0.00004920048,0.00110683,0.00008486662,0.00002348565,0.0001611567,0.9855821,0.006762826],"study_design_scores_gemma":[0.001460927,0.0001078823,0.0170154,0.000532116,0.00008778787,0.0000789547,0.0009389946,0.01162815,0.000002630512,0.001878908,0.9658113,0.0004569522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04975855,0.00597689,0.0007575029,0.002295019,0.0007018137,0.002223992,0.9382623,0.00001456185,0.000009373244],"genre_scores_gemma":[0.03936119,0.00185286,0.0005432243,0.0002289364,0.0004586496,0.0003243866,0.9570398,0.00003044605,0.0001605562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.318428,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06397534760175339,"score_gpt":0.2710048724927359,"score_spread":0.2070295248909825,"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."}}