{"id":"W6884643866","doi":"10.11587/aroihy/8snp98","title":"10752_rr01_de_v1_0.pdf","year":2021,"lang":"en","type":"dataset","venue":"AUSSDA - The Austrian Social Science Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Product (mathematics); Identification (biology)","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":["insufficient_payload"],"category_scores_codex":[0.001932983,0.002796925,0.002111794,0.005813424,0.0009030005,0.004931134,0.003800847,0.002846838,0.3710354],"category_scores_gemma":[0.01048181,0.00186294,0.001571352,0.01189937,0.0004839815,0.001830485,0.002739434,0.002124812,0.4710707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951026,"about_ca_system_score_gemma":0.002991288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04170087,"about_ca_topic_score_gemma":0.0389741,"domain_scores_codex":[0.9981058,0.0002959134,0.0002634196,0.0004238762,0.0004282631,0.0004828302],"domain_scores_gemma":[0.9961105,0.001250202,0.0003890806,0.0009679464,0.0009134679,0.0003687066],"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":[0.0000221276,0.000008911095,0.0001910376,0.0002397787,0.00001002476,0.000005323545,0.00001045968,0.00008152244,0.00002467373,0.0002734369,0.998116,0.001016646],"study_design_scores_gemma":[0.0002907975,0.00001852599,0.003534487,0.0003022319,0.00001951005,0.00002504495,0.00007070997,0.0002554115,0.0002648754,0.0009765824,0.9942061,0.00003568915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003256588,0.00001931168,0.0000338172,0.00003496253,0.00002015012,0.000005325277,0.9989979,0.0002634497,0.0005924549],"genre_scores_gemma":[0.0002367217,0.00004961885,0.0001517486,0.0000440585,0.00001495914,0.00009768047,0.9972018,0.0002208208,0.001982543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6289645,"threshold_uncertainty_score":0.8971416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0960485313169424,"score_gpt":0.361090150475011,"score_spread":0.2650416191580686,"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."}}