{"id":"W7083830443","doi":"10.17870/bathspa.30138730","title":"word-process-object_1","year":2025,"lang":"en","type":"dataset","venue":"Bath Spa University","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thursday; Attendance; Ridiculous; Period (music)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001864363,0.003271598,0.001383019,0.003818938,0.001346114,0.004003338,0.003429118,0.002903064,0.1068645],"category_scores_gemma":[0.00800357,0.0009931428,0.002687603,0.004505144,0.0007356998,0.002602246,0.002619917,0.002403529,0.1764844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470907,"about_ca_system_score_gemma":0.002827915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246261,"about_ca_topic_score_gemma":0.02743987,"domain_scores_codex":[0.9983941,0.0003169599,0.0002147326,0.000611421,0.0002377824,0.0002249679],"domain_scores_gemma":[0.9972681,0.0009590463,0.0002948038,0.0006857276,0.0005640951,0.0002282207],"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":[0.0002015804,0.00004115094,0.001561811,0.001933211,0.0000750144,0.00003649657,0.00005903443,0.0002305873,0.0002812545,0.0006714619,0.9909006,0.004007599],"study_design_scores_gemma":[0.0003967854,0.00004507908,0.003882422,0.0003675423,0.00004914994,0.000088588,0.0001360032,0.0005217526,0.0007251469,0.001647858,0.9920971,0.00004250191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002221757,0.000106653,0.0002193942,0.00009235227,0.00005387907,0.00003703009,0.99696,0.001481146,0.0008273028],"genre_scores_gemma":[0.0005350862,0.00006362476,0.0006933249,0.00007209816,0.00001125395,0.0001947278,0.9971291,0.0002973668,0.001003341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8931355,"threshold_uncertainty_score":0.3574972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009031749030202946,"score_gpt":0.2334346534385898,"score_spread":0.2244029044083869,"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."}}