{"id":"W4241438408","doi":"10.14322/publons.r2252333","title":"10.14322/publons.r2252333","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Middle East; Political science; History; Archaeology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001329456,0.002314625,0.001409956,0.003830855,0.0007101961,0.003338067,0.003219003,0.002401292,0.3376222],"category_scores_gemma":[0.007201271,0.001242823,0.001376499,0.008348654,0.000522994,0.001374179,0.002523512,0.001352277,0.4465559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386956,"about_ca_system_score_gemma":0.002037621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0282294,"about_ca_topic_score_gemma":0.04379323,"domain_scores_codex":[0.9990473,0.0001712301,0.0001264332,0.0002897192,0.0001749212,0.0001903217],"domain_scores_gemma":[0.9973148,0.0007312148,0.0003516657,0.0007064045,0.0004820792,0.0004138922],"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":[0.00005918547,0.00002050641,0.001056576,0.0005464216,0.00003633082,0.00001391793,0.00002209746,0.0002346112,0.00005328605,0.0003059475,0.9951919,0.002459327],"study_design_scores_gemma":[0.000473914,0.00003015127,0.005366742,0.0003641795,0.00004748403,0.00003882125,0.0000823353,0.0005257555,0.0002886097,0.0009198661,0.9918255,0.00003657525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007117177,0.00003896735,0.00004892889,0.00004642122,0.000019107,0.000006064844,0.9987418,0.0004123618,0.0006152045],"genre_scores_gemma":[0.0004885165,0.00005851798,0.0001581544,0.00006363459,0.00001376276,0.00006827328,0.9970368,0.0001770906,0.001935189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6623778,"threshold_uncertainty_score":0.9448016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055848877837701,"score_gpt":0.2399429165579253,"score_spread":0.2293844277795483,"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."}}