{"id":"W985154869","doi":"","title":"Odporność fibrobetonu na uderzenia","year":2005,"lang":"pl","type":"article","venue":"Cement Wapno Beton","topic":"Structural Engineering and Materials Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science","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":[0.0003255305,0.0003504613,0.0004709119,0.001179236,0.0008062212,0.001958441,0.000223593,0.0004169883,0.005199106],"category_scores_gemma":[0.0007396332,0.0001925588,0.0002743118,0.0005763167,0.001003391,0.0008657913,0.00108909,0.0008200153,0.000626527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336904,"about_ca_system_score_gemma":0.0005901311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253312,"about_ca_topic_score_gemma":0.002974398,"domain_scores_codex":[0.9995877,0.0000500205,0.00002189036,0.00008394036,0.0001909516,0.00006548707],"domain_scores_gemma":[0.9997811,0.00004750084,0.00004084793,0.00002580949,0.00006197375,0.00004277227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002129268,0.0005571275,0.02149459,0.001476949,0.0001616615,0.002430177,0.00354525,0.00307231,0.6109762,0.03649094,0.00121219,0.3164533],"study_design_scores_gemma":[0.0001471165,0.002628107,0.08762844,0.001036562,0.00100447,0.007778695,0.007302416,0.01166479,0.6426431,0.02213975,0.2158149,0.0002117397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344282,0.007259432,0.01421342,0.0004151865,0.0002509506,0.00008102394,0.0001841545,0.0001880385,0.04297946],"genre_scores_gemma":[0.9811764,0.002129124,0.004755125,0.00009318026,0.00004367471,0.00002837139,0.00006732339,0.00007104876,0.01163569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005199106,"threshold_uncertainty_score":0.01739275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006124509207268805,"score_gpt":0.1944551624176804,"score_spread":0.1883306532104116,"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."}}