{"id":"W7013189935","doi":"","title":"Thinking Places","year":2015,"lang":"en","type":"article","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shot (pellet); Space (punctuation); Sequence (biology); Movie theater","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":[0.001183939,0.0009757036,0.0002645641,0.00147883,0.006341352,0.007514879,0.001286287,0.002045291,0.156471],"category_scores_gemma":[0.004232225,0.000364457,0.0005998928,0.001630501,0.003989301,0.006796263,0.006089251,0.003950372,0.02705763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00409821,"about_ca_system_score_gemma":0.002043471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004165876,"about_ca_topic_score_gemma":0.008721152,"domain_scores_codex":[0.9983155,0.0006240559,0.00006804375,0.0002516317,0.0003650985,0.0003756903],"domain_scores_gemma":[0.9975815,0.000399377,0.0001739169,0.0003109907,0.0005124402,0.001021859],"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":[0.0001012482,0.00004354688,0.0006750062,0.0001438067,0.000008915029,0.0003878727,0.01604466,0.0001313124,0.0004786894,0.4462773,0.4591089,0.07659877],"study_design_scores_gemma":[0.000004961862,0.000009172978,0.0003236733,0.00007770545,0.000002014296,0.0001102837,0.003985677,0.00003327634,0.0001332835,0.01065982,0.9846527,0.00000754004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005598181,0.001885459,0.005640991,0.0164422,0.005141003,0.000100137,0.0008118495,0.0004324021,0.9639478],"genre_scores_gemma":[0.1685625,0.003244728,0.01007191,0.006530807,0.001782441,0.000203994,0.001956371,0.000802346,0.8068449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.156471,"threshold_uncertainty_score":0.5234475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797419750707739,"score_gpt":0.2537727043421719,"score_spread":0.2057985068350945,"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."}}