{"id":"W231399074","doi":"","title":"Automatización inteligente en trituración y clasificación.","year":2014,"lang":"es","type":"article","venue":"Ingeopres: Actualidad técnica de ingeniería civil, minería, geología y medio ambiente","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002122305,0.001039571,0.0005974034,0.001222306,0.0006333509,0.001669119,0.001217641,0.001041313,0.006708624],"category_scores_gemma":[0.002234716,0.0007371648,0.0007690841,0.0009394035,0.0006539667,0.001197643,0.001611344,0.0009555207,0.004535726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007859595,"about_ca_system_score_gemma":0.0015005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006378077,"about_ca_topic_score_gemma":0.00905218,"domain_scores_codex":[0.9983027,0.0001536895,0.00008340573,0.0005212133,0.0007527355,0.000186262],"domain_scores_gemma":[0.9987814,0.000322547,0.0001380711,0.0002463081,0.0004591167,0.00005258551],"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":[0.0003117147,0.0001978657,0.002566492,0.0005829041,0.00005226582,0.0001731495,0.0004611464,0.007272242,0.5706187,0.002007505,0.004031718,0.4117244],"study_design_scores_gemma":[0.00004590242,0.0006206391,0.007094633,0.0001147116,0.000102917,0.0005916692,0.0004075286,0.05638439,0.8279112,0.00268849,0.1039624,0.00007558588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1609388,0.005666915,0.7899424,0.0009695463,0.0004483004,0.00066642,0.001453189,0.01186835,0.02804621],"genre_scores_gemma":[0.3798054,0.00315342,0.5766312,0.0003941759,0.00006522643,0.0003942919,0.002371267,0.00105287,0.03613214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006708624,"threshold_uncertainty_score":0.02244258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006199282264532048,"score_gpt":0.2394596127687221,"score_spread":0.2332603305041901,"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."}}