{"id":"W6900451305","doi":"10.60510/gfhha001e","title":"IGSN GFHHA001E (Liard) Specimen: (sediment:bed load) from Liard (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":"Relation (database); Face (sociological concept); Perspective (graphical); Point (geometry); Set (abstract data type)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009274057,0.001324943,0.001279811,0.01083656,0.005152266,0.002349565,0.00314055,0.001474114,0.1908645],"category_scores_gemma":[0.003007389,0.0009024303,0.0005771077,0.01813432,0.001017879,0.001042689,0.002056831,0.001338324,0.1415868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008726675,"about_ca_system_score_gemma":0.01992407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8838478,"about_ca_topic_score_gemma":0.936887,"domain_scores_codex":[0.9984604,0.00003754961,0.000077645,0.0002638378,0.0007248732,0.0004357702],"domain_scores_gemma":[0.9962781,0.0001477146,0.0001867205,0.0005224952,0.002517203,0.0003477096],"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":[0.0001472224,0.00003331819,0.005874113,0.0003999315,0.00002467883,0.0001756795,0.0005742493,0.0001509176,0.001584194,0.001800152,0.9565493,0.03268621],"study_design_scores_gemma":[0.00001925003,0.000008881008,0.02630464,0.0001514317,0.00002098532,0.0001201282,0.0003568522,0.00003979319,0.0008607173,0.0003187476,0.9717731,0.00002548207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004510387,0.0002605006,0.001086181,0.0002027443,0.0002217236,0.0002084323,0.9078155,0.001258759,0.08443581],"genre_scores_gemma":[0.01096577,0.000403216,0.00468524,0.0002580507,0.00005631754,0.0002743639,0.8658105,0.001722927,0.1158235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8091354,"threshold_uncertainty_score":0.6385055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692912917420805,"score_gpt":0.2244341422166203,"score_spread":0.2075050130424122,"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."}}