{"id":"W6949100086","doi":"10.5281/zenodo.11182079","title":"easystats/insight: insight 0.19.11","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Université du Québec à Montréal","funders":"","keywords":"Set (abstract data type); Data set; Context (archaeology); Constraint (computer-aided design); Term (time)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004111569,0.004330077,0.002954773,0.004064648,0.001077856,0.00486415,0.006069751,0.003586008,0.685187],"category_scores_gemma":[0.01885681,0.005110719,0.004107475,0.003060641,0.0009176125,0.005871263,0.005351349,0.003530306,0.5378438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828517,"about_ca_system_score_gemma":0.002399282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006885897,"about_ca_topic_score_gemma":0.008835793,"domain_scores_codex":[0.998091,0.0002825354,0.0001710561,0.0004553278,0.0006516748,0.000348348],"domain_scores_gemma":[0.9913194,0.004133324,0.0006749841,0.001931308,0.001398884,0.0005421963],"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":[0.0001685382,0.0000436939,0.001231783,0.0005455286,0.00007613358,0.0000709289,0.00007655206,0.0005397466,0.0003422799,0.002113086,0.9821404,0.01265134],"study_design_scores_gemma":[0.0007321278,0.00008124162,0.004180025,0.0005981924,0.0001350561,0.000291911,0.00009895099,0.008093551,0.00788937,0.02521458,0.9523761,0.0003088203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006889787,0.0001668726,0.02917719,0.0005303673,0.0003511421,0.0001005849,0.2223494,0.7325948,0.0140405],"genre_scores_gemma":[0.009556953,0.0002125753,0.02846128,0.001111142,0.0001929514,0.0005539272,0.1820517,0.7402529,0.03760655],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.685187,"threshold_uncertainty_score":0.4490426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162368767488712,"score_gpt":0.2590727446481694,"score_spread":0.2174490569732823,"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."}}