{"id":"W4412531555","doi":"10.47854/36yw2198","title":"Capitaloce","year":2025,"lang":"en","type":"article","venue":"Anthropen","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003904,0.00006780095,0.0001168083,0.00008562897,0.0008386304,0.0001164354,0.0003282381,0.00005753906,0.0006345001],"category_scores_gemma":[0.0005200571,0.00006536671,0.00003389193,0.000596433,0.0004196105,0.000239514,0.00007706511,0.00008179236,0.0001345723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193676,"about_ca_system_score_gemma":0.0004324497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0308755,"about_ca_topic_score_gemma":0.008987757,"domain_scores_codex":[0.9989982,0.0001851375,0.0001891679,0.0001846404,0.0002035584,0.0002393577],"domain_scores_gemma":[0.9993163,0.000070496,0.0000476684,0.0002342872,0.0003029103,0.00002835491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003496698,0.00004468154,0.04007707,0.00003111887,0.00001535011,0.000003473133,0.01183186,0.000002995819,0.00001778334,0.9056324,0.03920406,0.003135691],"study_design_scores_gemma":[0.000245024,0.00002462472,0.03566686,0.00003307441,0.000008707248,3.008261e-7,0.0488291,0.00002392954,0.000113691,0.03253061,0.8823345,0.0001895494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2071204,0.0001637126,0.0004608994,0.01142533,0.001103156,0.0006154501,0.00000203274,0.0001311615,0.7789779],"genre_scores_gemma":[0.9620817,0.00001073549,0.00004687271,0.0003785612,0.0001800703,0.00001947781,0.000004366704,0.000005404289,0.03727285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8731018,"threshold_uncertainty_score":0.975578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343195627359448,"score_gpt":0.3967558707148014,"score_spread":0.3833239144412069,"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."}}