{"id":"W6975684292","doi":"10.60510/awfwi02122","title":"IGSN AWFWI02122 (EN22063): Site in Boreal Forests/Taiga, Liard River, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Boreal; Period (music); Precipitation; Taiga","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880053,0.001548725,0.001275267,0.008904762,0.003271345,0.002370582,0.002266473,0.001182918,0.2153074],"category_scores_gemma":[0.002784267,0.0008946288,0.0004963417,0.0206148,0.0005166794,0.0008439561,0.001539742,0.001109265,0.1452458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004410626,"about_ca_system_score_gemma":0.01034126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.776648,"about_ca_topic_score_gemma":0.8874637,"domain_scores_codex":[0.9991814,0.00003377266,0.00005433739,0.0002067688,0.0002577145,0.0002659226],"domain_scores_gemma":[0.9978043,0.0001608317,0.0001605197,0.0003219812,0.001213794,0.0003385798],"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":[0.00006204654,0.00001471334,0.002521293,0.0002920109,0.00001579978,0.00005077235,0.0002480465,0.00008701558,0.0003616291,0.0005964389,0.9854876,0.01026268],"study_design_scores_gemma":[0.00004169161,0.000007213002,0.03558454,0.0002543922,0.00003527007,0.00008025592,0.0003310091,0.00008190167,0.0004136939,0.0005540426,0.9625881,0.00002784723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000892847,0.00008957229,0.0002485785,0.00003698689,0.00003754997,0.00004059957,0.9809787,0.0004332993,0.01724172],"genre_scores_gemma":[0.00211818,0.000139165,0.0009147903,0.00006227286,0.00001133122,0.0001600182,0.9708226,0.0005992579,0.02517247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.223352,"threshold_uncertainty_score":0.7202749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336078276627106,"score_gpt":0.242581662644427,"score_spread":0.2292208798781559,"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."}}