{"id":"W7132072832","doi":"","title":"Osiguranje iskopa građevne jame gradske knjižnice Paromlin u Zagrebu","year":2024,"lang":"hr","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petro Geotech (Canada)","funders":"","keywords":"Term (time); Identification (biology); Population; Data collection; Statistical analysis","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008112901,0.0006047128,0.0008478263,0.001069788,0.002230109,0.0001470193,0.001705503,0.000606722,0.001337211],"category_scores_gemma":[0.00005428947,0.0008131595,0.001503402,0.004599899,0.001942583,0.0006398356,0.0005834365,0.000986703,0.0004248064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007502859,"about_ca_system_score_gemma":0.0005217739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148747,"about_ca_topic_score_gemma":0.002168101,"domain_scores_codex":[0.9949692,0.0009990869,0.0004060461,0.001291853,0.001110603,0.001223136],"domain_scores_gemma":[0.9970588,0.0007574771,0.0003909698,0.0006035165,0.0004310403,0.0007581802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003178852,0.0007169769,0.001090299,0.0005704997,0.001156573,0.001836879,0.8939681,0.0003739391,0.000179408,0.03569037,0.03748759,0.02661149],"study_design_scores_gemma":[0.001207488,0.0002135486,0.001961556,0.0008526056,0.001094972,0.00000983457,0.6886108,0.00240699,0.00002574185,0.0002795696,0.3022751,0.001061818],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380505,0.004410727,0.004645326,0.003584264,0.004284792,0.0007837467,0.000362518,0.0010219,0.04285619],"genre_scores_gemma":[0.9791108,0.002069969,0.0006609189,0.00006565209,0.0003386337,3.729633e-12,0.00004863461,0.00003195246,0.01767348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647875,"threshold_uncertainty_score":0.9995757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006810158554720514,"score_gpt":0.1927694383877254,"score_spread":0.1859592798330049,"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."}}