{"id":"W978317209","doi":"","title":"Velvet : Killer przyjacielem człowieka","year":2011,"lang":"pl","type":"article","venue":"Marketing w Praktyce","topic":"Education and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Velvet; Geology","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":["insufficient_payload"],"category_scores_codex":[0.003194937,0.0003033101,0.0003090012,0.00005473903,0.001498884,0.0001563069,0.0005390341,0.0002083106,0.01275795],"category_scores_gemma":[0.002185406,0.0002694383,0.0001754888,0.0006113448,0.0004671394,0.0002847321,0.0002012405,0.0003444845,0.001454296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402266,"about_ca_system_score_gemma":0.0001864837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610635,"about_ca_topic_score_gemma":0.0007407414,"domain_scores_codex":[0.9966435,0.001052695,0.000443411,0.0005381414,0.0005458636,0.000776433],"domain_scores_gemma":[0.9984494,0.0004568534,0.0002823921,0.0002968916,0.0002616062,0.000252844],"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":[0.0002609299,0.0006838476,0.09201765,0.0002012916,0.0003117442,0.00001934723,0.3741191,3.984946e-7,0.0001130377,0.009699005,0.4350676,0.08750609],"study_design_scores_gemma":[0.0002259469,0.00005214932,0.1708668,0.0001662407,0.00006819179,0.000002604775,0.07040785,0.000006011289,0.00005686405,0.0002432138,0.7574402,0.0004639264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1582085,0.002248163,0.000006062888,0.005671492,0.003724351,0.0004066055,0.000005898536,0.0001928662,0.829536],"genre_scores_gemma":[0.838074,0.001444657,0.0009597767,0.0009834759,0.0008186518,0.0000419675,0.00000488948,0.00002822853,0.1576444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6798654,"threshold_uncertainty_score":0.9999758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09019934995596791,"score_gpt":0.309688141641805,"score_spread":0.2194887916858371,"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."}}