{"id":"W6894427414","doi":"10.5683/sp3/uqyyz8","title":"Fisher MSS 01106, Micro-CT scan","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Metadata; Data set; Object (grammar); Set (abstract data type); Phoenix","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007420173,0.00228073,0.001203567,0.003747293,0.0009930828,0.002103078,0.002479511,0.001895317,0.149063],"category_scores_gemma":[0.002646943,0.0009085615,0.0008454645,0.003822832,0.000454812,0.001357296,0.002122868,0.001380734,0.2466736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330623,"about_ca_system_score_gemma":0.00209184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02761205,"about_ca_topic_score_gemma":0.08820799,"domain_scores_codex":[0.9992767,0.00004271507,0.00006449132,0.0002477938,0.0002496228,0.0001187295],"domain_scores_gemma":[0.9989856,0.0001237959,0.0000678347,0.000282379,0.0004612539,0.00007912059],"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":[0.00004181243,0.0000130517,0.0007080978,0.0002525008,0.00001313767,0.00004495296,0.00001902278,0.000121387,0.0004964331,0.0001532728,0.9907973,0.007339101],"study_design_scores_gemma":[0.00005212894,0.00001895602,0.007870977,0.0002849668,0.00003277994,0.0004762934,0.0001485715,0.0003948549,0.002007261,0.001149993,0.9875201,0.00004311062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004967668,0.0001972769,0.0005386971,0.00009671442,0.00005517563,0.00004066332,0.9924278,0.002106938,0.004040009],"genre_scores_gemma":[0.001374642,0.0001344306,0.001479422,0.00008522128,0.00001761625,0.0001151722,0.9924838,0.0006930367,0.003616637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.149063,"threshold_uncertainty_score":0.4986653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192525131172892,"score_gpt":0.2669795917425893,"score_spread":0.2477270786253001,"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."}}