{"id":"W4236137582","doi":"10.31234/osf.io/sha8c","title":"Temporal Landmarks","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004800126,0.0005068767,0.0002355002,0.00111362,0.001032773,0.003211248,0.0007005953,0.0009533683,0.0629742],"category_scores_gemma":[0.003769935,0.0003905668,0.0004872144,0.001305464,0.001150033,0.00427564,0.001663893,0.001225844,0.02176001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000808027,"about_ca_system_score_gemma":0.0007360094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232834,"about_ca_topic_score_gemma":0.002044863,"domain_scores_codex":[0.9997197,0.00003762222,0.00002179759,0.000110304,0.00007700577,0.00003356487],"domain_scores_gemma":[0.999272,0.000174593,0.00008116828,0.0001893245,0.0002040578,0.00007890701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002279605,0.00002586387,0.001198848,0.0003180357,0.00003356323,0.0003077863,0.001662968,0.000607532,0.005363632,0.5161947,0.1142654,0.3597937],"study_design_scores_gemma":[0.00002985917,0.00005684169,0.003490122,0.0002656486,0.00005400351,0.002136077,0.0006833745,0.001098943,0.003444775,0.218198,0.7704939,0.00004854672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02190354,0.03607596,0.1701953,0.00571246,0.004249748,0.0001175122,0.004678543,0.002431057,0.7546359],"genre_scores_gemma":[0.5688666,0.02591132,0.09070009,0.001873201,0.001927482,0.000225461,0.009074409,0.001654314,0.2997671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0629742,"threshold_uncertainty_score":0.2106697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236628971501145,"score_gpt":0.3297946426294819,"score_spread":0.3061317454793674,"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."}}