{"id":"W6900583347","doi":"10.60510/gfhha001f","title":"IGSN GFHHA001F (Slave) Specimen: (sediment:bed load) from Slave (Canada)","year":2019,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Process (computing); Set (abstract data type); Work (physics)","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":[0.0007096363,0.001284632,0.001185585,0.009787595,0.005314226,0.001784882,0.002654566,0.001347661,0.146948],"category_scores_gemma":[0.002663596,0.0008199055,0.0005148972,0.01980873,0.001075043,0.0008762392,0.00178924,0.001191462,0.09143818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00794926,"about_ca_system_score_gemma":0.01895789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9099336,"about_ca_topic_score_gemma":0.9483513,"domain_scores_codex":[0.9988092,0.00002403097,0.00005705552,0.0002125266,0.0005138489,0.0003832638],"domain_scores_gemma":[0.9973471,0.0001072643,0.0001485374,0.0003572936,0.00179218,0.000247603],"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":[0.0002052338,0.00004346811,0.01189934,0.0005114464,0.00004148666,0.0002699827,0.001015139,0.0001863583,0.002339619,0.002450788,0.9426051,0.03843195],"study_design_scores_gemma":[0.00002941737,0.0000108367,0.05787912,0.0002075561,0.00003349767,0.0001792999,0.0005577219,0.00004752528,0.0009694237,0.0004324841,0.9396234,0.00002978416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007569528,0.0002405745,0.0008882257,0.0001889948,0.0002085027,0.0002019636,0.9141774,0.000772715,0.07575205],"genre_scores_gemma":[0.01597345,0.0004690807,0.003878761,0.0002357903,0.0000535977,0.0002751919,0.8933007,0.001254966,0.08455846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.146948,"threshold_uncertainty_score":0.49159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616761685752923,"score_gpt":0.2240504378241548,"score_spread":0.2078828209666256,"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."}}