{"id":"W6969410269","doi":"10.5683/sp3/5qkzkg","title":"CROP Political Survey 1992-02","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Crop; Negotiation; Public opinion; Crop production; Government (linguistics)","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":[0.001163193,0.001772905,0.001341657,0.004698321,0.001472619,0.002468791,0.002628327,0.001228072,0.05826144],"category_scores_gemma":[0.005967563,0.0007082135,0.0008406782,0.01171448,0.0003201868,0.0008231543,0.001216766,0.001772686,0.07876876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006079544,"about_ca_system_score_gemma":0.009069914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.741535,"about_ca_topic_score_gemma":0.8415879,"domain_scores_codex":[0.9985313,0.0001653463,0.0001125976,0.0002980415,0.0005711724,0.0003214739],"domain_scores_gemma":[0.9958431,0.0003519396,0.0003194663,0.0004662468,0.002654132,0.0003651367],"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":[0.00001798831,0.000007349954,0.0007155836,0.00007942547,0.000008919308,0.000009060449,0.000012042,0.00006841022,0.0000175841,0.0001480274,0.997898,0.001017647],"study_design_scores_gemma":[0.0001393615,0.00001138503,0.02159354,0.0001669045,0.00002499041,0.00003145472,0.0001198891,0.0004334837,0.0001422119,0.000304144,0.9770055,0.00002725831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001586781,0.0000388382,0.00002768958,0.00004864489,0.00001333053,0.000008684656,0.9989428,0.00006940384,0.0006919671],"genre_scores_gemma":[0.0003507735,0.0000325119,0.000079531,0.00002748308,0.000005912297,0.00003749427,0.9979839,0.00002540916,0.001456922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.258465,"threshold_uncertainty_score":0.5199742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349742319262595,"score_gpt":0.3374941417753914,"score_spread":0.2739967185827654,"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."}}