{"id":"W6927007763","doi":"10.26302/sshade/chips","title":"SSHADE/CHIPS: Canadian Hyperspectral Integrated Planetary Spectroscopy","year":2021,"lang":"en","type":"other","venue":"Solid Spectroscopy Hosting Architecture of Databases and Expertise","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperspectral imaging; Meteorite; Spectroscopy; Spectral analysis; Raman spectroscopy; Spectral line","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":[0.001766623,0.001910218,0.0008160266,0.004962219,0.002383639,0.002038604,0.00293491,0.0007130573,0.06583963],"category_scores_gemma":[0.001662123,0.000627621,0.0004933343,0.007031691,0.0007205945,0.00216038,0.002445525,0.001047557,0.03579735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007559841,"about_ca_system_score_gemma":0.01337321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5379998,"about_ca_topic_score_gemma":0.736779,"domain_scores_codex":[0.9982886,0.00005650187,0.00003021133,0.0002625816,0.001099739,0.0002623831],"domain_scores_gemma":[0.9973915,0.00008581125,0.00008023517,0.0002854432,0.001930933,0.00022615],"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":[0.0003306534,0.00009003504,0.004896867,0.0004756252,0.00006263881,0.0000676124,0.000160268,0.001808862,0.01886378,0.008716673,0.8641511,0.1003759],"study_design_scores_gemma":[0.00006050641,0.00002476282,0.01041217,0.00008317832,0.00003111142,0.00008431143,0.0001598339,0.005879903,0.02532167,0.003025673,0.95476,0.0001570101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01258232,0.001556532,0.03712877,0.0007536173,0.0002168591,0.0005524745,0.6977746,0.02960324,0.2198315],"genre_scores_gemma":[0.04111557,0.001848651,0.06730893,0.0005865727,0.00006252088,0.0004972395,0.7979738,0.008434879,0.08217181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4620002,"threshold_uncertainty_score":0.929442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079992019213395,"score_gpt":0.2698378286029207,"score_spread":0.2590379084107868,"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."}}