{"id":"W2073539553","doi":"10.5430/wjel.v5n1p14","title":"Mutual Determination between Clausal Constituents","year":2015,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Conflict of Laws and Jurisdiction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009215145,0.0007804713,0.0006765807,0.0017742,0.004141325,0.004379161,0.002026211,0.001297558,0.009013019],"category_scores_gemma":[0.0167944,0.001588766,0.0009139974,0.001367318,0.005261062,0.008770491,0.005632968,0.002168585,0.001750561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521776,"about_ca_system_score_gemma":0.002718493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982391,"about_ca_topic_score_gemma":0.002618818,"domain_scores_codex":[0.986153,0.006218624,0.0008004756,0.002590388,0.003312318,0.000925171],"domain_scores_gemma":[0.989892,0.005044249,0.0009703453,0.001615637,0.002268271,0.0002094862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005618397,0.00002561518,0.001222703,0.0001230096,0.00003621658,0.0002405339,0.009540477,0.0002630813,0.004666027,0.9607441,0.0009571292,0.02212487],"study_design_scores_gemma":[0.00006242721,0.000111119,0.004246392,0.0002088946,0.000190482,0.0007125159,0.004348631,0.005811402,0.01609728,0.8841511,0.08394223,0.0001176181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1715356,0.001246041,0.4613541,0.001851977,0.000195757,0.000773833,0.0004031617,0.001311195,0.3613283],"genre_scores_gemma":[0.9415078,0.0002173606,0.04395965,0.0002688323,0.0001437436,0.0003386324,0.0002914479,0.0003965994,0.01287575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009215145,"threshold_uncertainty_score":0.04873496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205743483887837,"score_gpt":0.3313195534517456,"score_spread":0.2992621186128672,"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."}}