{"id":"W6956710370","doi":"10.60510/awfwi02559","title":"IGSN AWFWI02559 (EN22036-T02): Individual Sample (Biology, plant - Larix laricina) from Richardson Mountains, Yukon, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"German Social Sciences and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Quality (philosophy); Productivity; Yield (engineering)","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":[0.001015406,0.001354208,0.001243237,0.008301791,0.001681829,0.001697745,0.002424364,0.001321764,0.1393724],"category_scores_gemma":[0.003876744,0.0007528852,0.0005742219,0.01752298,0.0004990487,0.000835915,0.002080516,0.0006604437,0.1051405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002447686,"about_ca_system_score_gemma":0.008825008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3367886,"about_ca_topic_score_gemma":0.3926826,"domain_scores_codex":[0.9989052,0.00005938749,0.0001432847,0.0003178742,0.0002569802,0.000317346],"domain_scores_gemma":[0.9972695,0.0001967398,0.0002564177,0.0005845774,0.001400173,0.0002926096],"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":[0.0002054245,0.00003219873,0.007948875,0.001104468,0.00005907102,0.00009614672,0.0005504108,0.0001470437,0.001404582,0.001569778,0.9692116,0.01767037],"study_design_scores_gemma":[0.00006021607,0.00001549565,0.05203865,0.0002609475,0.00006997948,0.0001021139,0.0004711043,0.00009049888,0.0006040452,0.0005607841,0.9457017,0.00002439934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001651665,0.0000658111,0.0003575696,0.00003148579,0.00002967904,0.00005171473,0.9900405,0.0003923947,0.007379255],"genre_scores_gemma":[0.002337711,0.00008741172,0.0008826873,0.00004026654,0.000006900267,0.0001597125,0.9889567,0.0003897664,0.007138863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6632114,"threshold_uncertainty_score":0.6696565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361179061290088,"score_gpt":0.3050749395889499,"score_spread":0.2689570334599411,"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."}}