{"id":"W4394035975","doi":"10.5281/zenodo.10220344","title":"CityPlace Schooner Caulking Iron 1","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0002828185,0.001361456,0.0006422893,0.002642874,0.000542753,0.001496217,0.001307914,0.0009264537,0.0612633],"category_scores_gemma":[0.001389026,0.0004638497,0.0006918992,0.005552976,0.000289341,0.001095518,0.001299328,0.0009736551,0.09126474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096735,"about_ca_system_score_gemma":0.001352314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07449334,"about_ca_topic_score_gemma":0.2156411,"domain_scores_codex":[0.999633,0.00003366968,0.00002260018,0.0001260155,0.0000989871,0.00008568581],"domain_scores_gemma":[0.9995111,0.00006331715,0.00004669849,0.0001425756,0.0001709625,0.00006527903],"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":[0.00005399923,0.00001794472,0.001907974,0.0003703291,0.00001341541,0.00003871478,0.00009757579,0.000391246,0.0002336116,0.0006818993,0.9901481,0.006045246],"study_design_scores_gemma":[0.00002956616,0.000006998737,0.005910524,0.0001068871,0.000007355494,0.00004071621,0.0001965777,0.0003071272,0.0002587634,0.000389998,0.9927307,0.00001476232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004445022,0.0000420004,0.00008980565,0.00002496411,0.00001288187,0.00000964758,0.9969681,0.0004482331,0.001959904],"genre_scores_gemma":[0.0009558466,0.00005035142,0.0003589594,0.00001017747,0.000002385289,0.00003111433,0.9972722,0.0001135001,0.001205441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07449334,"threshold_uncertainty_score":0.2049462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799783791598819,"score_gpt":0.2402783533837992,"score_spread":0.212280515467811,"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."}}