{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001602002,0.0001977002,0.0003736083,0.0003197886,0.0002129081,0.0001499919,0.0007007036,0.0001421026,0.0001064477],"category_scores_gemma":[0.0006874177,0.0002190058,0.00009266647,0.0005834159,0.0002325392,0.0005202631,0.0002440995,0.0002331545,0.0004494791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978943,"about_ca_system_score_gemma":0.000120568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000492757,"about_ca_topic_score_gemma":0.0001685135,"domain_scores_codex":[0.9982757,0.00001751221,0.0005038598,0.0004414892,0.0001269262,0.000634521],"domain_scores_gemma":[0.9989021,0.00007386062,0.0002658294,0.0004106744,0.0000638225,0.0002837336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000047143,0.0002254911,0.3376788,0.00006079238,0.00003833367,0.00006017269,0.009165111,0.0002845431,0.0007496015,0.5483099,0.09979699,0.003583107],"study_design_scores_gemma":[0.001469744,0.0006115467,0.02473711,0.0001802828,0.00001602256,0.0001000048,0.002155915,0.004295887,0.01451107,0.3093414,0.6411006,0.001480411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3855389,0.006597966,0.05560697,0.01035099,0.002923671,0.001296547,0.0001586895,0.001301721,0.5362245],"genre_scores_gemma":[0.9741601,0.0002707168,0.01674392,0.002410654,0.0002858848,0.0001949737,0.00000589194,0.00002984966,0.005897945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5886213,"threshold_uncertainty_score":0.8930799,"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."}}