{"id":"W6931938168","doi":"10.5683/sp3/9my96f","title":"Markinch Grain Elevator -- Markinch -- Metadata -- 2024","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Elevator; Scanner; Laser scanning; Metadata; Laser","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003179942,0.0008353047,0.00186654,0.00082246,0.0001557713,0.000341946,0.0006382608,0.001337473,0.001766588],"category_scores_gemma":[0.0008320771,0.0006650747,0.000465352,0.0008610023,0.0001144067,0.0001959476,0.000338331,0.002225253,0.001672358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006416586,"about_ca_system_score_gemma":0.005481189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2707345,"about_ca_topic_score_gemma":0.05614826,"domain_scores_codex":[0.9939237,0.0005311743,0.001509284,0.001359995,0.001430216,0.001245633],"domain_scores_gemma":[0.9947537,0.0001931286,0.0003375662,0.002958437,0.0003182788,0.001438844],"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":[0.00007325953,0.0001078951,0.00004979999,0.008588887,0.0004067811,0.001143294,0.0000332643,1.054452e-8,0.000001033623,0.000237251,0.984302,0.005056472],"study_design_scores_gemma":[0.0005404723,0.0002820737,0.0006337412,0.001524789,0.000581629,0.0006651338,0.00006266563,0.00001351899,0.000001158169,0.000160781,0.9949861,0.00054793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008349018,0.004595515,0.000009974658,0.01368834,0.003159173,0.001684834,0.9687288,0.0002007864,0.007924216],"genre_scores_gemma":[0.00001449707,0.002607406,0.0001439871,0.0049152,0.00487722,0.0002257765,0.9748087,0.0001532172,0.01225398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2145862,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226459370152549,"score_gpt":0.3435284218087506,"score_spread":0.3112638281072251,"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."}}