{"id":"W4390369092","doi":"10.3917/pe.103.0084","title":"10.3917/pe.103.0084","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009298061,0.001367186,0.0008100117,0.001889977,0.001820381,0.00583303,0.0009478804,0.003119623,0.9504629],"category_scores_gemma":[0.002951563,0.0007105242,0.0006615045,0.002308903,0.001716214,0.004328858,0.002527096,0.002527666,0.9584967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977702,"about_ca_system_score_gemma":0.001663832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630517,"about_ca_topic_score_gemma":0.004114085,"domain_scores_codex":[0.9993566,0.00006667492,0.0000475364,0.0002018877,0.0002133376,0.0001139222],"domain_scores_gemma":[0.9980842,0.0003026271,0.0001125767,0.0004208748,0.0006779369,0.000401864],"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":[0.0001863567,0.0002126987,0.001287439,0.0002402775,0.00001671855,0.0001901952,0.00006491092,0.0002990419,0.0009448929,0.01614225,0.6232745,0.3571407],"study_design_scores_gemma":[0.00003022563,0.00002476715,0.001608814,0.0002660364,0.00001425785,0.000321855,0.00009239952,0.0003082029,0.0004602006,0.005877244,0.9909753,0.00002062992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005642295,0.0005166697,0.0008172817,0.00177569,0.0008312967,0.00004141867,0.001285037,0.000543447,0.9936249],"genre_scores_gemma":[0.003263494,0.0003955597,0.0003429564,0.0006461921,0.0001462404,0.00003373454,0.0005721015,0.0002114169,0.9943883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04953706,"threshold_uncertainty_score":0.0706585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868336707580963,"score_gpt":0.1561389222743786,"score_spread":0.1374555551985689,"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."}}